Model Predictive Control Enabling Flexible Operation Of Data Centers

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Model Predictive Control Enabling Flexible Operation of Data Centers

Author : Tianyou Shao
Publisher : GRIN Verlag
ISBN 13 : 3668642613
Total Pages : 111 pages
Book Rating : 4.6/5 (686 download)

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Book Synopsis Model Predictive Control Enabling Flexible Operation of Data Centers by : Tianyou Shao

Download or read book Model Predictive Control Enabling Flexible Operation of Data Centers written by Tianyou Shao and published by GRIN Verlag. This book was released on 2018-02-21 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2017 in the subject Engineering - Power Engineering, grade: 2.0, RWTH Aachen University (Institute for Automation of Complex Power Systems), language: English, abstract: To rise to the challenge of the growing number of distributed Renewable Energy Sources (RES) for grid integration, Ancillary Service (AS) is increasingly crucial to maintaining the stability of power grid worldwide. In recent years, discussions about Data Centers (DCs) no longer limit to their energy efficiency. Considering the rising rigid demand from ICT customer and the high energy demand of DC, it is possible for DC to be one of Demand Response (DR) resources providing ASs in the smart grid. This thesis presents an online energy-aware scheduling algorithm based on Model Predictive Control (MPC), which realizes a proper adjustment of DC power demand, enabling the flexible operation of DC. The present work focuses on the identification and implementation of an MPC strategy which aims at a proper scheduling for DC which makes the total power consumption of DC flexible to track the reference signal in a DR context. It is demonstrated how the combination and interaction of the components under DC architecture can be utilized to achieve the realizable potential of operational flexibility for AS. Numerical simulation results have been carried out aimed at the later application in real pilot DCs. Furthermore, the capacity of resisting disturbance of this MPC approach has been discussed.

The Impact of Automatic Control Research on Industrial Innovation

Author : Silvia Mastellone
Publisher : John Wiley & Sons
ISBN 13 : 1119983614
Total Pages : 260 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis The Impact of Automatic Control Research on Industrial Innovation by : Silvia Mastellone

Download or read book The Impact of Automatic Control Research on Industrial Innovation written by Silvia Mastellone and published by John Wiley & Sons. This book was released on 2024-01-04 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Impact of Automatic Control Research on Industrial Innovation Bring together the theory and practice of control research with this innovative overview Automatic control research focuses on subjects pertaining to the theory and practice of automation science and technology subjects such as industrial automation, robotics, and human???machine interaction. With each passing year, these subjects become more relevant to researchers, policymakers, industrialists, and workers alike. The work of academic control researchers, however, is often distant from the perspectives of industry practitioners, creating the potential for insights to be lost on both sides. The Impact of Automatic Control Research on Industrial Innovation seeks to close this distance, providing an industrial perspective on the future of control research. It seeks to outline the possible and ongoing impacts of automatic control technologies across a range of industries, enabling readers to understand the connection between theory and practice. The result is a book that combines scholarly and practical understandings of industrial innovations and their possible role in building a sustainable world. The Impact of Automatic Control Research on Industrial Innovation readers will also find: Insights on industrial and commercial applications of automatic control theory. Detailed discussion of industrial sectors including power, automotive, production processes, and more. An applied research roadmap for each sector. This book is a must-own for both control researchers and control engineers, in both theoretical and applied contexts, as well as for graduate or continuing education courses on control theory and practice.

Data Centers Design and Operations: Strategies for Efficiency, Resilience, and Sustainability

Author : Charles Nehme
Publisher : Charles Nehme
ISBN 13 :
Total Pages : 72 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Centers Design and Operations: Strategies for Efficiency, Resilience, and Sustainability by : Charles Nehme

Download or read book Data Centers Design and Operations: Strategies for Efficiency, Resilience, and Sustainability written by Charles Nehme and published by Charles Nehme. This book was released on with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Optimizing Data Centers Design and Operations: Strategies for Efficiency, Resilience, and Sustainability." As the digital landscape evolves and organizations increasingly rely on Data Centers to support their operations, the need for efficient, resilient, and sustainable data center solutions has never been more critical. This book serves as a comprehensive guide for professionals involved in the design, construction, and operation of Data Centers. Whether you are an IT manager, Data Centers architect, facilities engineer, or industry enthusiast, this book offers valuable insights, best practices, and practical strategies to optimize Data Centers performance, reliability, and environmental impact. In today's dynamic and competitive business environment, Data Centers play a pivotal role in enabling organizations to store, process, and distribute vast amounts of data and applications. From energy-efficient cooling systems to robust disaster recovery plans, every aspect of Data Centers design and operations contributes to its overall effectiveness and sustainability. Through a combination of theoretical concepts, real-world case studies, and practical tips, this book explores key topics such as energy efficiency, resilience planning, regulatory compliance, environmental controls, and scalability. By understanding the complexities and challenges of Data Centers management, professionals can make informed decisions, implement best practices, and drive innovation in their organizations. We hope this book serves as a valuable resource for navigating the evolving landscape of Data Centers technology and operations. Whether you are embarking on a new Data Centers project or seeking to enhance the performance of an existing facility, the insights and strategies presented here will help you achieve your goals and deliver superior outcomes for your organization. Thank you for joining us on this journey toward optimizing Data Centers design and operations. We invite you to explore the pages ahead and discover the possibilities for building a more efficient, resilient, and sustainable data center infrastructure.

Model Predictive Control in the Process Industry

Author : Eduardo F. Camacho
Publisher : Springer Science & Business Media
ISBN 13 : 1447130081
Total Pages : 250 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model Predictive Control in the Process Industry by : Eduardo F. Camacho

Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

Model Predictive Control of Microgrids

Author : Carlos Bordons
Publisher : Springer Nature
ISBN 13 : 3030245705
Total Pages : 266 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Model Predictive Control of Microgrids by : Carlos Bordons

Download or read book Model Predictive Control of Microgrids written by Carlos Bordons and published by Springer Nature. This book was released on 2019-09-12 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources – mainly photovoltaic and wind – as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Practical Applications of Data Processing, Algorithms, and Modeling

Author : Whig, Pawan
Publisher : IGI Global
ISBN 13 :
Total Pages : 334 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Practical Applications of Data Processing, Algorithms, and Modeling by : Whig, Pawan

Download or read book Practical Applications of Data Processing, Algorithms, and Modeling written by Whig, Pawan and published by IGI Global. This book was released on 2024-04-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.

Practical Design and Application of Model Predictive Control

Author : Nassim Khaled
Publisher : Butterworth-Heinemann
ISBN 13 : 0128139196
Total Pages : 262 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Practical Design and Application of Model Predictive Control by : Nassim Khaled

Download or read book Practical Design and Application of Model Predictive Control written by Nassim Khaled and published by Butterworth-Heinemann. This book was released on 2018-05-04 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. Illustrates how to design, tune and deploy MPC for projects in a quick manner Demonstrates a variety of applications that are solved using MATLAB® and Simulink® Bridges the gap in providing a number of realistic problems with very hands-on training Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work Presents application problems with solutions to help reinforce the information learned

Nonlinear Model Predictive Control

Author : Frank Allgöwer
Publisher : Birkhäuser
ISBN 13 : 3034884079
Total Pages : 463 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Nonlinear Model Predictive Control by : Frank Allgöwer

Download or read book Nonlinear Model Predictive Control written by Frank Allgöwer and published by Birkhäuser. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland. The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.

Blockchain-Based Smart Grids

Author : Miadreza Shafie-khah
Publisher : Academic Press
ISBN 13 : 0128178620
Total Pages : 232 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Blockchain-Based Smart Grids by : Miadreza Shafie-khah

Download or read book Blockchain-Based Smart Grids written by Miadreza Shafie-khah and published by Academic Press. This book was released on 2020-05-14 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain-Based Smart Grids presents emerging applications of blockchain in electrical system and looks to future developments in the use of blockchain technology in the energy market. Rapid growth of renewable energy resources in power systems and significant developments in the telecommunication systems has resulted in new market designs being employed to cover unpredictable and distributed generation of electricity. This book considers the marriage of blockchain and grid modernization, and discusses the transaction shifts in smart grids, from centralized to peer-to-peer structures. In addition, it addresses the effective application of these structures to speed up processes, resulting in more flexible electricity systems. Aimed at moving towards blockchain-based smart grids with renewable applications, this book is useful to researchers and practitioners in all sectors of smart grids, including renewable energy providers, manufacturers and professionals involved in electricity generation from renewable sources, grid modernization and smart grid applications. Considers the current challenges facing smart grids and presents solutions on how blockchain technology could counter these issues Incorporates detailed applications of blockchain in smart grids based on dynamic research and developments Includes models, algorithms, and frameworks to practically demonstrate the uses of blockchain technology Written by a global group of authors for worldwide coverage

Enabling technologies and business models for energy communities

Author : Alessandro Burgio
Publisher : Frontiers Media SA
ISBN 13 : 2832543243
Total Pages : 211 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Enabling technologies and business models for energy communities by : Alessandro Burgio

Download or read book Enabling technologies and business models for energy communities written by Alessandro Burgio and published by Frontiers Media SA. This book was released on 2024-01-19 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Predictive Control

Author : James Blake Rawlings
Publisher :
ISBN 13 : 9780975937754
Total Pages : 770 pages
Book Rating : 4.9/5 (377 download)

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Book Synopsis Model Predictive Control by : James Blake Rawlings

Download or read book Model Predictive Control written by James Blake Rawlings and published by . This book was released on 2017 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Model Predictive Control

Author : Saša V. Raković
Publisher : Springer
ISBN 13 : 3319774891
Total Pages : 692 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Model Predictive Control by : Saša V. Raković

Download or read book Handbook of Model Predictive Control written by Saša V. Raković and published by Springer. This book was released on 2018-09-01 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.

Model Predictive Control for Microgrids

Author : Jiefeng Hu
Publisher : Energy Engineering
ISBN 13 : 9781839533976
Total Pages : 300 pages
Book Rating : 4.5/5 (339 download)

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Book Synopsis Model Predictive Control for Microgrids by : Jiefeng Hu

Download or read book Model Predictive Control for Microgrids written by Jiefeng Hu and published by Energy Engineering. This book was released on 2021-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.

Ubiquitous Networking

Author : Halima Elbiaze
Publisher : Springer Nature
ISBN 13 : 3030863565
Total Pages : 335 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Ubiquitous Networking by : Halima Elbiaze

Download or read book Ubiquitous Networking written by Halima Elbiaze and published by Springer Nature. This book was released on 2021-12-11 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Symposium on Ubiquitous Networking, UNet 2021, held in May 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 revised full papers presented together with 6 invited papers and 3 special sessions were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections: ubiquitous communication technologies and networking; tactile internet and internet of things; mobile edge networking and fog-cloud computing; artificial intelligence-driven communications; and data engineering, cyber security and pervasive services.

Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making

Author : Idemudia, Efosa Carroll
Publisher : IGI Global
ISBN 13 : 1799833534
Total Pages : 459 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making by : Idemudia, Efosa Carroll

Download or read book Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making written by Idemudia, Efosa Carroll and published by IGI Global. This book was released on 2020-06-05 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: To date, a plethora of companies and organizations are investing vast amounts of money on the latest technologies. Information technology can be used to improve market share, profits, sales, competitive advantage, and customer/employee satisfaction. Unfortunately, the individuals meant to use these technologies are not well equipped on how to effectively and efficiently use these tools for competitive advantage and decision making. The Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making is a collection of innovative research relevant to the methodologies, theoretical frameworks, and latest empirical research findings in information technology applications, strategic competitive advantage, and decision making. While highlighting topics including agility, knowledge management, and business intelligence, this book is ideally designed for information technology professionals, academics, researchers, managers, executives, and government officials interested in using information technology for strategic competitive advantage and better decision making.

Carbon Capture and Storage

Author : Mai Bui
Publisher : Royal Society of Chemistry
ISBN 13 : 1788011457
Total Pages : 596 pages
Book Rating : 4.7/5 (88 download)

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Book Synopsis Carbon Capture and Storage by : Mai Bui

Download or read book Carbon Capture and Storage written by Mai Bui and published by Royal Society of Chemistry. This book was released on 2019-11-29 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will provide the latest global perspective on the role and value of carbon capture and storage (CCS) in delivering temperature targets and reducing the impact of global warming. As well as providing a comprehensive, up-to-date overview of the major sources of carbon dioxide emission and negative emissions technologies, the book also discusses technical, economic and political issues associated with CCS along with strategies to enable commercialisation.

Minimax Approaches to Robust Model Predictive Control

Author : Johan Löfberg
Publisher : Linköping University Electronic Press
ISBN 13 : 9173736228
Total Pages : 212 pages
Book Rating : 4.1/5 (737 download)

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Book Synopsis Minimax Approaches to Robust Model Predictive Control by : Johan Löfberg

Download or read book Minimax Approaches to Robust Model Predictive Control written by Johan Löfberg and published by Linköping University Electronic Press. This book was released on 2003-04-11 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Controlling a system with control and state constraints is one of the most important problems in control theory, but also one of the most challenging. Another important but just as demanding topic is robustness against uncertainties in a controlled system. One of the most successful approaches, both in theory and practice, to control constrained systems is model predictive control (MPC). The basic idea in MPC is to repeatedly solve optimization problems on-line to find an optimal input to the controlled system. In recent years, much effort has been spent to incorporate the robustness problem into this framework. The main part of the thesis revolves around minimax formulations of MPC for uncertain constrained linear discrete-time systems. A minimax strategy in MPC means that worst-case performance with respect to uncertainties is optimized. Unfortunately, many minimax MPC formulations yield intractable optimization problems with exponential complexity. Minimax algorithms for a number of uncertainty models are derived in the thesis. These include systems with bounded external additive disturbances, systems with uncertain gain, and systems described with linear fractional transformations. The central theme in the different algorithms is semidefinite relaxations. This means that the minimax problems are written as uncertain semidefinite programs, and then conservatively approximated using robust optimization theory. The result is an optimization problem with polynomial complexity. The use of semidefinite relaxations enables a framework that allows extensions of the basic algorithms, such as joint minimax control and estimation, and approx- imation of closed-loop minimax MPC using a convex programming framework. Additional topics include development of an efficient optimization algorithm to solve the resulting semidefinite programs and connections between deterministic minimax MPC and stochastic risk-sensitive control. The remaining part of the thesis is devoted to stability issues in MPC for continuous-time nonlinear unconstrained systems. While stability of MPC for un-constrained linear systems essentially is solved with the linear quadratic controller, no such simple solution exists in the nonlinear case. It is shown how tools from modern nonlinear control theory can be used to synthesize finite horizon MPC controllers with guaranteed stability, and more importantly, how some of the tech- nical assumptions in the literature can be dispensed with by using a slightly more complex controller.