Integrating Traffic Data and Model Predictive Control to Improve Fuel Economy

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Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (757 download)

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Book Synopsis Integrating Traffic Data and Model Predictive Control to Improve Fuel Economy by : Nicholas Joseph Kohut

Download or read book Integrating Traffic Data and Model Predictive Control to Improve Fuel Economy written by Nicholas Joseph Kohut and published by . This book was released on 2009 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model Predictive Control for Integrating Traffic Control Measures

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Publisher :
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Model Predictive Control for Integrating Traffic Control Measures by : András Hegyi

Download or read book Model Predictive Control for Integrating Traffic Control Measures written by András Hegyi and published by . This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles

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Publisher : National Academies Press
ISBN 13 : 0309149827
Total Pages : 250 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles by : National Research Council

Download or read book Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles written by National Research Council and published by National Academies Press. This book was released on 2010-08-30 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles evaluates various technologies and methods that could improve the fuel economy of medium- and heavy-duty vehicles, such as tractor-trailers, transit buses, and work trucks. The book also recommends approaches that federal agencies could use to regulate these vehicles' fuel consumption. Currently there are no fuel consumption standards for such vehicles, which account for about 26 percent of the transportation fuel used in the U.S. The miles-per-gallon measure used to regulate the fuel economy of passenger cars. is not appropriate for medium- and heavy-duty vehicles, which are designed above all to carry loads efficiently. Instead, any regulation of medium- and heavy-duty vehicles should use a metric that reflects the efficiency with which a vehicle moves goods or passengers, such as gallons per ton-mile, a unit that reflects the amount of fuel a vehicle would use to carry a ton of goods one mile. This is called load-specific fuel consumption (LSFC). The book estimates the improvements that various technologies could achieve over the next decade in seven vehicle types. For example, using advanced diesel engines in tractor-trailers could lower their fuel consumption by up to 20 percent by 2020, and improved aerodynamics could yield an 11 percent reduction. Hybrid powertrains could lower the fuel consumption of vehicles that stop frequently, such as garbage trucks and transit buses, by as much 35 percent in the same time frame.

Advances in Mobility-as-a-Service Systems

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Publisher : Springer Nature
ISBN 13 : 3030610756
Total Pages : 1158 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advances in Mobility-as-a-Service Systems by : Eftihia G. Nathanail

Download or read book Advances in Mobility-as-a-Service Systems written by Eftihia G. Nathanail and published by Springer Nature. This book was released on 2020-11-03 with total page 1158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers together innovative research and practical findings relating to urban mobility transformation. It is especially intended to provide academicians, researchers, practitioners and decision makers with effective strategies and techniques that can support urban mobility in a sustainable way. The chapters, which report on contributions presented at the 5th Conference on Sustainable Urban Mobility, held virtually on June 17-19, 2020, from Greece, cover the thematic areas of: social networks and traveler behavior; applications of technologies in transportation and big data analytics; transport infrastructure and traffic management; and transportation modeling and impact assessment. Special attention is given to public transport and demand responsive systems, electromobility, micromobility and automated vehicles. The book addresses the challenges of the near future, highlighting the importance of knowledge transfer, and it is intended to foster communication among universities, industries and public administration.

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles

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Publisher : Springer
ISBN 13 : 3030003140
Total Pages : 198 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Intelligent Control of Connected Plug-in Hybrid Electric Vehicles by : Amir Taghavipour

Download or read book Intelligent Control of Connected Plug-in Hybrid Electric Vehicles written by Amir Taghavipour and published by Springer. This book was released on 2018-09-26 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest. 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.

Advanced Intelligent Predictive Models for Urban Transportation

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Publisher : CRC Press
ISBN 13 : 1000555909
Total Pages : 145 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Advanced Intelligent Predictive Models for Urban Transportation by : R. Sathiyaraj

Download or read book Advanced Intelligent Predictive Models for Urban Transportation written by R. Sathiyaraj and published by CRC Press. This book was released on 2022-03-27 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. The book illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments. Features: Provides a smart traffic congestion avoidance system with an integrated fuel consumption model. Predicts traffic in short-term and regular. This is illustrated with a case study. Efficient Traffic light controller and deviation system in accordance with the traffic scenario. IoT based Intelligent Transport Systems in a Global perspective. Intelligent Traffic Light Control System and Ambulance Control System. Provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. Bunch of solutions and ideas for smart traffic development in smart cities. This book focuses on advanced predictive models along with offering an efficient solution for smart traffic management system. This book will give a brief idea of the available algorithms/techniques of big data, IoT, and genetic algorithm and guides in developing a solution for smart city applications. This book will be a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT. This book is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful.

Validating and Refining a Model Predictive Control System to Improve Vehicle Fuel Economy

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Publisher :
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4.:/5 (757 download)

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Book Synopsis Validating and Refining a Model Predictive Control System to Improve Vehicle Fuel Economy by : Aaron C. Arizpe

Download or read book Validating and Refining a Model Predictive Control System to Improve Vehicle Fuel Economy written by Aaron C. Arizpe and published by . This book was released on 2009 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of ELM 2018

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Publisher : Springer
ISBN 13 : 3030233073
Total Pages : 347 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Proceedings of ELM 2018 by : Jiuwen Cao

Download or read book Proceedings of ELM 2018 written by Jiuwen Cao and published by Springer. This book was released on 2019-06-29 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains some selected papers from the International Conference on Extreme Learning Machine 2018, which was held in Singapore, November 21–23, 2018. This conference provided a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental “learning particles” filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. The main theme of ELM2018 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning. This book covers theories, algorithms and applications of ELM. It gives readers a glance at the most recent advances of ELM.

Integrated Control of Mixed Traffic Networks Using Model Predictive Control

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Publisher :
ISBN 13 :
Total Pages : 222 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Integrated Control of Mixed Traffic Networks Using Model Predictive Control by : Monique Berg

Download or read book Integrated Control of Mixed Traffic Networks Using Model Predictive Control written by Monique Berg and published by . This book was released on 2010 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Power Transmissions

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Publisher : CRC Press
ISBN 13 : 131538681X
Total Pages : 1081 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Power Transmissions by : Datong Qin

Download or read book Power Transmissions written by Datong Qin and published by CRC Press. This book was released on 2016-11-10 with total page 1081 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents papers from the International Conference on Power Transmissions 2016, held in Chongqing, China, 27th-30th October 2016. The main objective of this conference is to provide a forum for the most recent advances, addressing the challenges in modern mechanical transmissions. The conference proceedings address all aspects of gear and power transmission technology and a range of applications. The presented papers are catalogued into three main tracks, including design, simulation and testing, materials and manufacturing, and industrial applications. The design, simulation and testing track covers topics such as new methods and designs for all types of transmissions, modelling and simulation of power transmissions, strength, fatigue, dynamics and reliability of power transmissions, lubrication and sealing technologies and theories, and fault diagnosis of power transmissions. In the materials and manufacturing track, topics include new materials and heat treatment of power transmissions, new manufacturing technologies of power transmissions, improved tools to predict future demands on production systems, new technologies for ecologically sustainable productions and those which preserve natural resources, and measuring technologies of power transmissions. The proceedings also cover the novel industrial applications of power transmissions in marine, aerospace and railway contexts, wind turbines, the automotive industry, construction machinery, and robots.

Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles

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Author :
Publisher : National Academies Press
ISBN 13 : 0309159474
Total Pages : 251 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles by : National Research Council

Download or read book Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles written by National Research Council and published by National Academies Press. This book was released on 2010-07-30 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies and Approaches to Reducing the Fuel Consumption of Medium- and Heavy-Duty Vehicles evaluates various technologies and methods that could improve the fuel economy of medium- and heavy-duty vehicles, such as tractor-trailers, transit buses, and work trucks. The book also recommends approaches that federal agencies could use to regulate these vehicles' fuel consumption. Currently there are no fuel consumption standards for such vehicles, which account for about 26 percent of the transportation fuel used in the U.S. The miles-per-gallon measure used to regulate the fuel economy of passenger cars. is not appropriate for medium- and heavy-duty vehicles, which are designed above all to carry loads efficiently. Instead, any regulation of medium- and heavy-duty vehicles should use a metric that reflects the efficiency with which a vehicle moves goods or passengers, such as gallons per ton-mile, a unit that reflects the amount of fuel a vehicle would use to carry a ton of goods one mile. This is called load-specific fuel consumption (LSFC). The book estimates the improvements that various technologies could achieve over the next decade in seven vehicle types. For example, using advanced diesel engines in tractor-trailers could lower their fuel consumption by up to 20 percent by 2020, and improved aerodynamics could yield an 11 percent reduction. Hybrid powertrains could lower the fuel consumption of vehicles that stop frequently, such as garbage trucks and transit buses, by as much 35 percent in the same time frame.

Modeling, Dynamics, and Control of Electrified Vehicles

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Publisher : Woodhead Publishing
ISBN 13 : 0128131098
Total Pages : 521 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Modeling, Dynamics, and Control of Electrified Vehicles by : Haiping Du

Download or read book Modeling, Dynamics, and Control of Electrified Vehicles written by Haiping Du and published by Woodhead Publishing. This book was released on 2017-10-19 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modelling, Dynamics and Control of Electrified Vehicles provides a systematic overview of EV-related key components, including batteries, electric motors, ultracapacitors and system-level approaches, such as energy management systems, multi-source energy optimization, transmission design and control, braking system control and vehicle dynamics control. In addition, the book covers selected advanced topics, including Smart Grid and connected vehicles. This book shows how EV work, how to design them, how to save energy with them, and how to maintain their safety. The book aims to be an all-in-one reference for readers who are interested in EVs, or those trying to understand its state-of-the-art technologies and future trends. Offers a comprehensive knowledge of the multidisciplinary research related to EVs and a system-level understanding of technologies Provides the state-of-the-art technologies and future trends Covers the fundamentals of EVs and their methodologies Written by successful researchers that show the deep understanding of EVs

Operations Research

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Publisher : CRC Press
ISBN 13 : 1000800121
Total Pages : 277 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Operations Research by : Vilda Purutçuoğlu

Download or read book Operations Research written by Vilda Purutçuoğlu and published by CRC Press. This book was released on 2022-11-24 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operation Research methods are often used in every field of modern life like industry, economy and medicine. The authors have compiled of the latest advancements in these methods in this volume comprising some of what is considered the best collection of these new approaches. These can be counted as a direct shortcut to what you may search for. This book provides useful applications of the new developments in OR written by leading scientists from some international universities. Another volume about exciting applications of Operations Research is planned in the near future. We hope you enjoy and benefit from this series!

Predictive Control Strategy for Automated Driving Systems Under Mixed Traffic Lane Change Conditions

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Predictive Control Strategy for Automated Driving Systems Under Mixed Traffic Lane Change Conditions by : Kunsong Shi

Download or read book Predictive Control Strategy for Automated Driving Systems Under Mixed Traffic Lane Change Conditions written by Kunsong Shi and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent development of technologies, automated vehicles and connectedautomated vehicles (CAVs) have been researched and developed. However, mass deployment of fully automated vehicles is very difficult to achieve in the near future because of the high cost of high level autonomous vehicles. Automated driving system (ADS) like the Connected and automated vehicle highway (CAVH) system that can utilize roadside infrastructure is one of the best approaches for large scale deployment for CAVs because the system can reduce the workload and cost of a single vehicle. However, mass deployment of ADS will still take some time. Therefore, in the near future, mixed traffic conditions containing CAVs and human driven vehicles will be the predominant condition. Safe and efficient control for autonomous vehicles under mixed is still a very challenging task for the automated driving system. In this research, we present a predictive control strategy for automated driving systems under mixed traffic lane change conditions. To achieve this goal, we first proposed a deep learning based lane change prediction module that considers a new lane change prediction scenario that is more realistic by considering more surrounding vehicles. Then we developed a deep learning based integrated two dimensional vehicle trajectory prediction module. This integrated model can predict combined behaviors of car-following and lane change. Then we created a predictive deep reinforcement learning based CAV controller that can utilize the predicted information to generate safe and efficient longitudinal control for CAVs under mixed traffic lane change conditions. Several experiments are conducted using the trajectory data Next Generation Simulation (NGSIM) dataset to evaluate the effectiveness of the proposed modules. The experiment result shows that our lane change prediction module can accurately predict human lane change behavior under the defined lane change condition. Moreover, the experiment result demonstrates that the proposed integrated two dimensional trajectory prediction model can accurately predict both lane change trajectories and car-following trajectories. In addition, experiments for the deep reinforcement learning-based CAV controller showed that the proposed controller can improve traffic safety and efficiency of CAVs under mixed traffic lane change conditions.

Data Science and Simulation in Transportation Research

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Publisher : IGI Global
ISBN 13 : 1466649216
Total Pages : 457 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Data Science and Simulation in Transportation Research by : Janssens, Davy

Download or read book Data Science and Simulation in Transportation Research written by Janssens, Davy and published by IGI Global. This book was released on 2013-12-31 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.

Hybrid Electric Vehicles

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Publisher : Springer
ISBN 13 : 1447167813
Total Pages : 121 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Hybrid Electric Vehicles by : Simona Onori

Download or read book Hybrid Electric Vehicles written by Simona Onori and published by Springer. This book was released on 2015-12-16 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.

Model Predictive Control System Design and Implementation Using MATLAB®

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Publisher : Springer Science & Business Media
ISBN 13 : 1848823312
Total Pages : 398 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Model Predictive Control System Design and Implementation Using MATLAB® by : Liuping Wang

Download or read book Model Predictive Control System Design and Implementation Using MATLAB® written by Liuping Wang and published by Springer Science & Business Media. This book was released on 2009-02-14 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.