Download or read book Neural Adaptive Control of Nonlinear MIMO Electrohydraulic Servosystem written by and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Adaptive Control of Nonlinear MIMO Electrohydraulic Servosystem written by and published by . This book was released on 1901 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrohydraulic servomechanisms are well known for their fast dynamic response, high power to inertia ratio, and control accuracy. If the system dynamics can be precisely described and the plant dynamics vary in the vicinity of the designed operation point, a fixed parameter controller may be designed using conventional control theory to acquire the desired output. However, for most industrial systems, it is very difficult to describe the system precisely. In addition, due to disturbances, variations of loads, and changing process dynamics, the system parameters may vary. Traditional linear control techniques based on small perturbation theory, which can deal with a system operated in the vicinity of the designed working state, may lead to a degradation in the performance of a system under varying parameter conditions. The neural network approach, using the parallel distributed processing concept with the capability of an ever-improving performance through a dynamic learning process, provides a powerful adaptation ability. Its implementation is thus quite feasible for the control of electrohydraulic servosystems. The major objective of the research undertaken in this thesis was to apply the neural network control architecture to a nonlinear multiple input-multiple output (MIMO) electrohydraulic servosystem to improve its position and force output performance. This objective was achieved through the use of a neural adaptive control scheme. A neuro-controller was implemented as a subsystem to control the real-time electrohydraulic system so as to track the desired signals defined by a reference model when subjected to system internal interactions and load variations. Experiments were conducted to illustrate the feasibility and benefits of the neural network approach in comparison with the traditional PID control strategies. The position and force outputs of the plant followed the reference model outputs successfully. The proposed control scheme forced the plant outpu.
Download or read book Parameter Estimation and Adaptive Control for Nonlinear Servo Systems written by Shubo Wang and published by Elsevier. This book was released on 2024-02-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design. It provides fundamentals, algorithms, and it discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems. Presents a clear and concise introduction to the latest advances in parameter estimation and adaptive control with several concise applications for servo systems Covers a wide range of applications usually not found in similar books, such as power systems, robotics, mechatronics, aeronautics, and industrial systems Contains worked examples which make it ideal for advanced courses as well as for researchers starting to work in the field, particularly suitable for engineers wishing to enter the field quickly and efficiently
Download or read book Applications of Neural Adaptive Control Technology written by Jens Kalkkuhl and published by World Scientific. This book was released on 1997 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the results of the second workshop on Neural Adaptive Control Technology, NACT II, held on September 9-10, 1996, in Berlin. The workshop was organised in connection with a three-year European-Union-funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland).The NACT project, which began on 1 April 1994, is a study of the fundamental properties of neural-network-based adaptive control systems. Where possible, links with traditional adaptive control systems are exploited. A major aim is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from within the Daimler-Benz group of companies.The aim of the workshop was to bring together selected invited specialists in the fields of adaptive control, nonlinear systems and neural networks. The first workshop (NACT I) took place in Glasgow in May 1995 and was mainly devoted to theoretical issues of neural adaptive control. Besides monitoring further development of theory, the NACT II workshop was focused on industrial applications and software tools. This context dictated the focus of the book and guided the editors in the choice of the papers and their subsequent reshaping into substantive book chapters. Thus, with the project having progressed into its applications stage, emphasis is put on the transfer of theory of neural adaptive engineering into industrial practice. The contributors are therefore both renowned academics and practitioners from major industrial users of neurocontrol.
Download or read book Advances in Neural Networks ISNN 2007 written by Derong Liu and published by Springer. This book was released on 2007-07-14 with total page 1390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.
Download or read book Neural Adaptive Control Technology written by Rafal Zbikowski and published by World Scientific. This book was released on 1996-04-13 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held in 1995 in Glasgow. Selected workshop participants were asked to substantially expand and revise their contributions to make them into full papers.The workshop was organised in connection with a three-year European Union funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland). A major aim of the NACT project is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from Daimler-Benz.In the book emphasis is put on development of sound theory of neural adaptive control for nonlinear control systems, but firmly anchored in the engineering context of industrial practice. Therefore the contributors are both renowned academics and practitioners from major industrial users of neurocontrol.
Download or read book Electrohydraulic Servo Systems written by D. R. Raghavendra and published by Springer Nature. This book was released on 2023-05-05 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamental concepts of electrohydraulic (EH) servo systems in detail and also presents the developments about power, quadratic response, and control flexibility of EH servo systems with applications in aircraft/aerospace engineering, mobile equipment, material/structure testing, motion simulators, and strategic defense sectors. Various topics covered in this books are systems and configurations of servo systems, components, applications, design of SISO and MIMO and control options of SISO and MIMO systems. It further includes a chapter on contamination control, fault detection and diagnosis (FDD) of these systems. The detailed working procedures and advice on implementation routines presented in this book will help readers to apply the control models and systems presented so as to make their own servo systems more efficient. The book will be useful for mechanical engineers and professionals involved in the analysis and design of electrohydraulic control systems, especially in advanced hydraulic industries, the aeronautical and space, and automotive industries. It would also be a useful reference for advanced courses in EH systems.
Download or read book Adaptive Control of Nonlinear Systems Using Neural Networks written by Sanjay Kumar Mazumdar and published by . This book was released on 1995 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Soft Computing for Intelligent Systems written by Nikhil Marriwala and published by Springer Nature. This book was released on 2021-06-22 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.
Download or read book Adaptive Control of Non linear Systems Using Neural Networks written by Fu-Chuang Chen and published by . This book was released on 1990 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Layered neural networks are used in the adaptive control of nonlinear discrete-time systems. The control algorithm is described and two convergence results are provided.
Download or read book Neuro Fuzzy Control of Industrial Systems with Actuator Nonlinearities written by Frank L. Lewis and published by SIAM. This book was released on 2002-01-01 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities.
Download or read book Real time Adaptive Control of Nonlinear Systems Using Neural Networks written by John F Glenn (Jr.) and published by . This book was released on 1996 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Neural Network Control Of Robotic Manipulators written by Sam Shuzhi Ge and published by World Scientific. This book was released on 1998-12-04 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, there has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the problems of robot control in an “on-and-off” fashion. This book is dedicated to issues on adaptive control of robots based on neural networks. The text has been carefully tailored to (i) give a comprehensive study of robot dynamics, (ii) present structured network models for robots, and (iii) provide systematic approaches for neural network based adaptive controller design for rigid robots, flexible joint robots, and robots in constraint motion. Rigorous proof of the stability properties of adaptive neural network controllers is provided. Simulation examples are also presented to verify the effectiveness of the controllers, and practical implementation issues associated with the controllers are also discussed.
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.
Download or read book Adaptive Control of Nonlinear Dynamical Systems by Artificial Neural Networks written by Siddik Murat Yesiloglu and published by . This book was released on 1993 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Variable Neural Networks for Adaptive Control of Nonlinear Systems written by Guo Ping Liu and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Control of an Electrohydraulic Servo System Using Adaptive Control Techniques written by K. Yamahashi and published by . This book was released on 1991 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
