Control and Dynamic Systems: Advances in Theory and Applications : Advances in Algorithms and Computational Techniques in Dynamic Systems Control, P: v. 30
Author(s): Cornelius T. Leondes
Publisher: Academic Press Inc
Publication Date: 1 Mar. 1989
Language: English
Print length: 257 pages
ISBN-10: 012012730X
ISBN-13: 9780120127306
Book Description
The book emphasizes neural network structures for achieving practical and effective systems and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical, and production engineering will find this volume a unique reference source for diverse application methodologies.
Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multilayer recurrent neural networks for synthesizing and implementing real-time linear control, adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant: system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques.
Control and Dynamic Systems: Advances in Theory and Applications : System Identification and Adaptive Control, Part 2: v. 26
Author(s): Cornelius T. Leondes
Publisher: Academic Press Inc
Publication Date: 1 Nov. 1987
Language: English
Print length: 339 pages
ISBN-10: 0120127261
ISBN-13: 9780120127269
Book Description
The book emphasizes neural network structures for achieving practical and effective systems and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical, and production engineering will find this volume a unique reference source for diverse application methodologies.
Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multilayer recurrent neural networks for synthesizing and implementing real-time linear control, adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant: system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques.
Control and Dynamic Systems: Advances in Theory and Applications : System Identification and Adaptive Control, Part 1 of 3: v. 25
Author(s): Cornelius T. Leondes
Publisher: Academic Press Inc
Publication Date: 1 July 1987
Language: English
Print length: 361 pages
ISBN-10: 0120127253
ISBN-13: 9780120127252
Book Description
Control and Dynamic Advances in Theory and Applications reviews progress in the field of control and dynamic systems theory and applications. Topics include multistage models and fitting them to input/output data; computer-aided control systems design techniques; multilevel optimization of multiple arc trajectories; and nonlinear smoothing techniques. Solutions of dynamic games are also considered, and a survey of Soviet contributions to control theory is presented. Comprised of six chapters, this volume begins with a discussion on a number of important issues with respect to the modeling of a dynamic system, the beginning point for the resolution of the system synthesis problem. Issues with respect to the utilization of the Kalman filter as a concise model for the identification of a large class of dynamic systems are explored, along with computational and convergence issues. The application of computer-aided design techniques to control engineering problems is the subject of the next chapter. The book also evaluates multilevel systems optimization techniques and their application to a rather complex systems problem before concluding with an overview of the evolutionary growth of Soviet contributions to control theory. This monograph will be useful to mathematicians and engineers.