Nonlinear Circuits And Systems For Neuro Inspired Robot Control

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Nonlinear Circuits and Systems for Neuro-inspired Robot Control

Author : Luca Patanè
Publisher : Springer
ISBN 13 : 3319733478
Total Pages : 99 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Nonlinear Circuits and Systems for Neuro-inspired Robot Control by : Luca Patanè

Download or read book Nonlinear Circuits and Systems for Neuro-inspired Robot Control written by Luca Patanè and published by Springer. This book was released on 2018-03-20 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book guides readers along a path that proceeds from neurobiology to nonlinear-dynamical circuits, to nonlinear neuro-controllers and to bio-inspired robots. It provides a concise exploration of the essence of neural processing in simple animal brains and its adaptation and extrapolation to modeling, implementation, and realization of the analogous emergent features in artificial but bio-inspired robots: an emerging research field. The book starts with a short presentation of the main areas of the Drosophila brain. These are modeled as nonlinear dynamical structures, which are then used to showcase key features like locomotion, motor learning, memory formation, and exploitation. It also discusses additional complex behaviors, such as sequence learning and perception, which have recently been discovered to exist in insects. Much of the material presented has been tested in biorobotics classes for the Master’s degree in Automation Engineering and Control of Complex Systems at the University of Catania. Reporting on the work fostered by several national and international research projects, the book offers researchers novel ideas on how neuro-inspired dynamics can be used in developing the autonomous machines of the future.

Dynamical Systems, Wave-Based Computation and Neuro-Inspired Robots

Author : Paolo Arena
Publisher : Springer Science & Business Media
ISBN 13 : 3211787755
Total Pages : 253 pages
Book Rating : 4.2/5 (117 download)

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Book Synopsis Dynamical Systems, Wave-Based Computation and Neuro-Inspired Robots by : Paolo Arena

Download or read book Dynamical Systems, Wave-Based Computation and Neuro-Inspired Robots written by Paolo Arena and published by Springer Science & Business Media. This book was released on 2008-11-30 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a special Issue on "Dynamical Systems, Wave based computation and neuro inspired robots'^ based on a Course carried out at the CISM in Udine (Italy), the last week of September, 2003. From the topics treated within that Course, several new ideas were f- mulated, which led to a new kind of approach to locomotion and p- ception, grounded both on biologically inspired issues and on nonlinear dynamics. The Course was characterised by a high degree of multi disciplinarity. In fact, in order to conceive, design and build neuro inspired machines, it is necessary to deeply scan into different d- ciplines, including neuroscience. Artificial Intelligence, Biorobotics, Dynamical Systems theory and Electronics. New types of moving machines should be more closely related to the biological rules, not discarding the real implementation issues. The recipe has to include neurobiological paradigms as well as behavioral aspects from the one hand, new circuit paradigms, able of real time control of multi joint robots on the other hand. These new circuit paradigms are based on the theory of complex nonlinear dynamical systems, where aggregates of simple non linear units into ensembles of lattices, have the pr- erty that the solution set is much richer than that one shown by the single units. As a consequence, new solutions ^'emerge'\ which are often characterized by order and harmony.

Biology-Inspired Engineering and Engineering-Inspired Biology

Author : Jan-Matthias Braun
Publisher : Frontiers Media SA
ISBN 13 : 288966340X
Total Pages : 165 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Biology-Inspired Engineering and Engineering-Inspired Biology by : Jan-Matthias Braun

Download or read book Biology-Inspired Engineering and Engineering-Inspired Biology written by Jan-Matthias Braun and published by Frontiers Media SA. This book was released on 2021-01-04 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bio-Inspired Emergent Control of Locomotion Systems

Author :
Publisher :
ISBN 13 : 9814482307
Total Pages : pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Bio-Inspired Emergent Control of Locomotion Systems by :

Download or read book Bio-Inspired Emergent Control of Locomotion Systems written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Network Control Of Robot Manipulators And Non-Linear Systems

Author : F W Lewis
Publisher : CRC Press
ISBN 13 : 100016277X
Total Pages : 468 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Neural Network Control Of Robot Manipulators And Non-Linear Systems by : F W Lewis

Download or read book Neural Network Control Of Robot Manipulators And Non-Linear Systems written by F W Lewis and published by CRC Press. This book was released on 2020-08-14 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of applications including position control, force control, link flexibility stabilization and the management of high-frequency joint and motor dynamics. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot control problem and standard techniques such as torque, adaptive and robust control. Subsequent chapters give design techniques and Stability Proofs For NN Controllers For Robot Arms, Practical Robotic systems with high frequency vibratory modes, force control and a general class of non-linear systems. The last chapters are devoted to discrete- time NN controllers. Throughout the text, worked examples are provided.

Neural & Bio-inspired Processing and Robot Control

Author : Huanqing Wang
Publisher : Frontiers Media SA
ISBN 13 : 2889456978
Total Pages : 135 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Neural & Bio-inspired Processing and Robot Control by : Huanqing Wang

Download or read book Neural & Bio-inspired Processing and Robot Control written by Huanqing Wang and published by Frontiers Media SA. This book was released on 2019-01-24 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic presents bio-inspired and neurological insights for the development of intelligent robotic control algorithms. This aims to bridge the inter-disciplinary gaps between neuroscience and robotics to accelerate the pace of research and development.

Bio-inspired Emergent Control of Locomotion Systems

Author : Mattia Frasca
Publisher : World Scientific
ISBN 13 : 9812389199
Total Pages : 211 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Bio-inspired Emergent Control of Locomotion Systems by : Mattia Frasca

Download or read book Bio-inspired Emergent Control of Locomotion Systems written by Mattia Frasca and published by World Scientific. This book was released on 2004 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with locomotion control of biologically inspired robots realized through an analog circuital paradigm as cellular nonlinear networks. It presents a general methodology for the control of bio-inspired robots and several case studies, as well as describes a new approach to motion control and the related circuit architecture. Bio-inspired Emergent Control of Locomotion Systems provides researchers with a guide to the fundamentals of the topics. Moreover, neuro-biologists and physiologists can use the book as a starting point to design artificial structures for testing their biological hypotheses on the animal model.

Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications

Author : Di Wu
Publisher : Frontiers Media SA
ISBN 13 : 2832519172
Total Pages : 136 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications by : Di Wu

Download or read book Towards Neuroscience-Inspired Intelligent Computing: Theory, Methods, and Applications written by Di Wu and published by Frontiers Media SA. This book was released on 2023-04-03 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Networks and Machine Learning – ICANN 2018

Author : Věra Kůrková
Publisher : Springer
ISBN 13 : 303001424X
Total Pages : 866 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2018 by : Věra Kůrková

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2018 written by Věra Kůrková and published by Springer. This book was released on 2018-10-02 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Cognitive and Computational Neuroscience

Author : Seyyed Abed Hosseini
Publisher : BoD – Books on Demand
ISBN 13 : 1789231884
Total Pages : 106 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Cognitive and Computational Neuroscience by : Seyyed Abed Hosseini

Download or read book Cognitive and Computational Neuroscience written by Seyyed Abed Hosseini and published by BoD – Books on Demand. This book was released on 2018-05-30 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

Handbook of Nature-Inspired and Innovative Computing

Author : Albert Y. Zomaya
Publisher : Springer Science & Business Media
ISBN 13 : 0387277056
Total Pages : 736 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Handbook of Nature-Inspired and Innovative Computing by : Albert Y. Zomaya

Download or read book Handbook of Nature-Inspired and Innovative Computing written by Albert Y. Zomaya and published by Springer Science & Business Media. This book was released on 2006-03-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Robot Brains

Author : Pentti O. Haikonen
Publisher : John Wiley & Sons
ISBN 13 : 9780470517864
Total Pages : 224 pages
Book Rating : 4.5/5 (178 download)

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Book Synopsis Robot Brains by : Pentti O. Haikonen

Download or read book Robot Brains written by Pentti O. Haikonen and published by John Wiley & Sons. This book was released on 2007-09-27 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Haikonen envisions autonomous robots that perceive and understand the world directly, acting in it in a natural human-like way without the need of programs and numerical representation of information. By developing higher-level cognitive functions through the power of artificial associative neuron architectures, the author approaches the issues of machine consciousness. Robot Brains expertly outlines a complete system approach to cognitive machines, offering practical design guidelines for the creation of non-numeric autonomous creative machines. It details topics such as component parts and realization principles, so that different pieces may be implemented in hardware or software. Real-world examples for designers and researchers are provided, including circuit and systems examples that few books on this topic give. In novel technical and practical detail, this book also considers: the limitations and remedies of traditional neural associators in creating true machine cognition; basic circuit assemblies cognitive neural architectures; how motors can be interfaced with the associative neural system in order for fluent motion to be achieved without numeric computations; memorization, imagination, planning and reasoning in the machine; the concept of machine emotions for motivation and value systems; an approach towards the use and understanding of natural language in robots. The methods presented in this book have important implications for computer vision, signal processing, speech recognition and other information technology fields. Systematic and thoroughly logical, it will appeal to practising engineers involved in the development and design of robots and cognitive machines, also researchers in Artificial Intelligence. Postgraduate students in computational neuroscience and robotics, and neuromorphic engineers will find it an exciting source of information.

Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach

Author : Ameer Hamza Khan
Publisher : Springer Nature
ISBN 13 : 9811593922
Total Pages : 91 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach by : Ameer Hamza Khan

Download or read book Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach written by Ameer Hamza Khan and published by Springer Nature. This book was released on 2020-10-29 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents.

Classifying Intelligence in Machines: A Taxonomy of Intelligent Control

Author : Callum Wilson
Publisher : Infinite Study
ISBN 13 :
Total Pages : 19 pages
Book Rating : 4./5 ( download)

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Book Synopsis Classifying Intelligence in Machines: A Taxonomy of Intelligent Control by : Callum Wilson

Download or read book Classifying Intelligence in Machines: A Taxonomy of Intelligent Control written by Callum Wilson and published by Infinite Study. This book was released on with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quest to create machines that can solve problems as humans do leads us to intelligent control. This field encompasses control systems that can adapt to changes and learn to improve their actions—traits typically associated with human intelligence. In this work we seek to determine how intelligent these classes of control systems are by quantifying their level of adaptability and learning. First we describe the stages of development towards intelligent control and present a definition based on literature. Based on the key elements of this definition, we propose a novel taxonomy of intelligent control methods, which assesses the extent to which they handle uncertainties in three areas: the environment, the controller, and the goals. This taxonomy is applicable to a variety of robotic and other autonomous systems, which we demonstrate through several examples of intelligent control methods and their classifications. Looking at the spread of classifications based on this taxonomy can help researchers identify where control systems can be made more intelligent.

Bio-Inspired Collaborative Intelligent Control and Optimization

Author : Yongsheng Ding
Publisher : Springer
ISBN 13 : 9811066892
Total Pages : 474 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Bio-Inspired Collaborative Intelligent Control and Optimization by : Yongsheng Ding

Download or read book Bio-Inspired Collaborative Intelligent Control and Optimization written by Yongsheng Ding and published by Springer. This book was released on 2017-11-06 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION - Volume III

Author : Heinz Unbehauen
Publisher : EOLSS Publications
ISBN 13 : 184826142X
Total Pages : 454 pages
Book Rating : 4.8/5 (482 download)

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Book Synopsis CONTROL SYSTEMS, ROBOTICS AND AUTOMATION - Volume III by : Heinz Unbehauen

Download or read book CONTROL SYSTEMS, ROBOTICS AND AUTOMATION - Volume III written by Heinz Unbehauen and published by EOLSS Publications. This book was released on 2009-10-11 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Neural Systems for Control

Author : Omid Omidvar
Publisher : Elsevier
ISBN 13 : 9780080537399
Total Pages : 358 pages
Book Rating : 4.5/5 (373 download)

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Book Synopsis Neural Systems for Control by : Omid Omidvar

Download or read book Neural Systems for Control written by Omid Omidvar and published by Elsevier. This book was released on 1997-02-24 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory Represents the most up-to-date developments in this rapidly growing application area of neural networks Takes a new and novel approach to system identification and synthesis