Control and Dynamic Systems
Uusim väljalase: 1. detsember 2014
Sarjad
51
Raamatud
Teave selle e-raamatute sarja kohta
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 and comprehensive 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, multi-layer 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.
Coverage includes:
- Orthogonal Activation Function Based Neural Network System Architecture (OAFNN)
- Multilayer recurrent neural networks for synthesizing and implementing real-time linear control
- Adaptive control of unknown nonlinear dynamical systems
- Optimal Tracking Neural Controller techniques
- Consideration of unified approximation theory and applications
- Techniques for determining multivariable nonlinear model structures for dynamic systems, with a detailed treatment of relevant system model input determination
Neural Network Systems Techniques and Applications: Advances in Theory and Applications
7. raamat · veebr 1998 ·
5,0star
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 and comprehensive 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, multi-layer 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.
Coverage includes:
- Orthogonal Activation Function Based Neural Network System Architecture (OAFNN)
- Multilayer recurrent neural networks for synthesizing and implementing real-time linear control
- Adaptive control of unknown nonlinear dynamical systems
- Optimal Tracking Neural Controller techniques
- Consideration of unified approximation theory and applications
- Techniques for determining multivariable nonlinear model structures for dynamic systems, with a detailed treatment of relevant system model input determination
Control and Dynamic Systems: Advances in Theory and Applications
9. raamat · nov 2014 ·
0,0star
Control and Dynamic Systems: Advances in Theory and Applications, Volume 9 brings together diverse information on important progress in the field of control and systems theory and applications. This volume is comprised of contributions from leading researchers in the field. Topics covered include optimal observer techniques for linear discrete time systems; application of sensitivity constrained optimal control to national economic policy formulation; and modified quasilinearization method for mathematical programming problems and optimal control problems. Dynamic decision theory and techniques and closed loop formulations of optimal control problems for minimum sensitivity are also elaborated. Engineers and scientists in applied physics will find the book interesting.
Control and Dynamic Systems: Advances in Theory and Applications
10. raamat · nov 2014 ·
0,0star
Control and Dynamic Systems: Advances in Theory and Applications, Volume 10 brings together diverse information on important progress in the field of control and systems theory and applications. This volume is comprised of contributions from leading researchers in the field. Topics discussed include the evaluation of suboptimal strategies using quasilinearization; aircraft symmetric flight optimization; aircraft maneuver optimization by reduced-order approximation; and differential dynamic programming. Estimation of uncertain systems; application of modern control and optimization techniques to transportation systems; and integrated system identification and optimization are also elucidated. Aerospace engineers and scientists and researchers in applied sciences will find the book interesting.
Control and Dynamic Systems: Advances in Theory and Applications
11. raamat · nov 2014 ·
0,0star
Control and Dynamic Systems: 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.
Control and Dynamic Systems: Advances in Theory and Applications
12. raamat · nov 2014 ·
0,0star
Control and Dynamic Systems: Advances in Theory and Applications reviews progress in the field of control and dynamic systems theory and applications, with emphasis on filtering and stochastic control in dynamic systems. Topics include linear and nonlinear filtering techniques; concepts and methods in stochastic control; and discrete-time optical stochastic observers. The theory of disturbance-accommodating controllers is also presented. Comprised of nine chapters, this volume begins with an overview of filtering and stochastic control in dynamic systems, followed by a discussion on linear and nonlinear filtering techniques. The reader is then introduced to concepts and methods in stochastic control, as well as the innovations process and its applications to sensitivity analysis and system identification. Subsequent chapters focus on the status of observer theory and its major results as applied to discrete-time linear systems; the properties of the class of discrete-time Riccati equations that arise in the filtering problem; and the theory of disturbance-accommodating controllers. The identification of noise characteristics in a Kalman filter and estimation of adaptive minimum variance in discrete-time linear systems round out the book. This monograph will be useful to practicing technologists and research workers interested in filtering and stochastic control in dynamic systems.
Control and Dynamic Systems V14: Advances in Theory and Applications
14. raamat · dets 2012 ·
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Control and Dynamic Systems: Advances in Theory and Applications, Volume 14 provides information pertinent to the fundamental aspects of linear and nonlinear multi-input–multi-output systems. This book presents the development of analysis and synthesis of these complex systems that describes several important applied issues. Organized into five chapters, this volume begins with an overview of the basic issues in models for large-scale engineering systems and other systems. This text then examines the relations between model complexity or accuracy and system performance. Other chapters consider the various significant systems modeling and control issues in nuclear reactors. This book discusses as well the modeling issues and their methods that are fundamentally useful to the differential–functional (DF) system. The final chapter deals with complex many-element power systems and presents techniques for such systems. This book is a valuable resource for controls and systems engineers. Aeronautic research workers will also find this book extremely useful.
Control and Dynamic Systems V16: Advances in Theory and Applications
16. raamat · dets 2012 ·
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Control and Dynamic Systems: Advances in Theory and Application, Volume 16 is concerned with applied dynamic systems control techniques. It describes various techniques for system modeling, which apply to several systems issues. This book presents a comprehensive treatment of powerful algorithmic techniques for solving dynamic-system optimization problems. It also describes approaches for systems model that apply to system issues such as time delays. The remaining chapters of this book explore the simulation of large closed-loop systems and optimization of low-order feedback controllers for discrete-time systems. Researchers who wish to broaden their understanding of dynamic systems control techniques will find this book invaluable.
Control and Dynamic Systems V17: Advances in Theory and Applications
17. raamat · dets 2012 ·
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Control and Dynamic Systems: Advances in Theory and Application, Volume 17 deals with the theory of differential games and its applications. It provides a unique presentation of the differential game theory as well as the use of algorithms for solving this complex class problems. This book discusses fundamental concepts and system problem formulation for differential game systems. It also considers pursuit-evasion games and on-line real time computer control techniques. This book will serve as a useful reference for those interested in effective computations for differential games.
Control and Dynamic Systems V18: Advances in Theory and Applications
18. raamat · dets 2012 ·
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Control and Dynamic Systems, Volume 18: Advances in Theory and Applications provides the techniques for the analysis and synthesis of large-scale complex systems. This book begins with a comprehensive treatment of component cost analysis of large-scale systems, including cost balancing methods for system design, failure mode analysis, model reduction techniques, and design of lower-order controllers that meet on-line controller software limitations. The problem of reduced-order modeling and filtering, linear multivariable systems synthesis techniques, and digital control of dynamical systems are deliberated in the next chapters. This publication concludes with the ship propulsion dynamics simulation and analysis and synthesis of complex distributed parameter systems. This volume is beneficial to students and researchers conducting work on advances in large-scale complex systems.
Control and Dynamic Systems V19: Advances in Theory and Applications, Part 1
19. raamat · dets 2012 ·
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Volume 19: Nonlinear and Kalman Filtering Techniques, Part 1 of 3 covers the advances in the techniques and technology of nonlinear filters and Kalman filters. The book provides a comprehensive treatment of the theory and applications of nonlinear filters and Kalman filters. Chapters are devoted to the discussion of the exact and approximate state estimation techniques for nonlinear dynamic systems; computational efficiencies in the various approaches to filtering techniques; the implementation of filters by the use of microprocessors and distributed processor systems; and practical means for dealing with nonlinearities. Engineers, economists, seismologists, meteorologists, and communications experts will find this book a good reference material.
Control and Dynamic Systems V22: Advances in Theory and Applications
22. raamat · dets 2012 ·
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Control and Dynamic Systems, Volume 22: Decentralized/Distributed Control and Dynamic Systems, Part 1 deals with advances in techniques for the analysis and synthesis of decentralized or distributed control and dynamic systems. This book begins with a unique presentation of important results and techniques that decentralized control systems often face due to the fact that the individual systems in a collection or set of decentralized control systems are somewhat incomplete. The controllability, observability, implications, and powerful techniques for stabilization and control of decentralized systems are also discussed. The next chapters describe the covariance equivalent realizations with application to model reductions of large-scale systems and decentralized estimation and control of one-way connected subsystems. This publication concludes with a presentation of the multivariable feedback and decentralized control that reviews fundamental results extending multivariable theory from conventional control systems to the highly challenging problems of decentralized control. This volume is beneficial to students and researchers conducting work on decentralized or distributed control and dynamic systems.
Control and Dynamic Systems V23: Advances in Theory and Applications, Part 2
23. raamat · dets 2012 ·
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Control and Dynamic Systems: Advances in Theory and Application, Volume 23: Decentralized/Distributed Control and Dynamic Systems, Part 2 of 3 is a second volume of a trilogy that deals with the advances in techniques for the analysis and synthesis of decentralized or distributed control and dynamic systems. It includes chapters on techniques dealing with complex computational issues in decentralized control systems. This book discusses the time allocation of time-critical resources of decentralized but coordinated systems. It also deals with issues of reliable or robust decentralized control systems, model reduction for large-scale systems, and linear quadratic control problem. This book ends with powerful techniques for solving problems in decentralized control systems. Many practitioners will find this text useful because of its various complex real-world applications.
Control and Dynamic Systems V26: Advances in Theory and Applications, Part 2
26. raamat · dets 2012 ·
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Control and Dynamic Systems: Advances in Theory and Application, Volume 26: System Identification and Adaptive Control, Part 2 of 3 deals with system parameter identification and adaptive control. It presents useful techniques for effective stochastic adaptive control systems. This volume presents a powerful technique for identifying discrete time and continuous time linear time-invariant multivariable systems. It also includes the use of identifiable representations for linear multivariable systems; parametric identification of transfer functions of linear system; compares model reference adaptive control and model identification control; estimation of transfer function models; multivariable self-tuning control; and covariance analysis. This volume ends with powerful techniques for adaptive control for stochastic linear systems. This text is of great value to practitioners in the field who want a comprehensive reference source of techniques with significant applied implications.
Control and Dynamic Systems V27: Advances in Theory and Applications, Part 3
27. raamat · dets 2012 ·
0,0star
Control and Dynamic Systems: Advances in Theory and Application, Volume 27: System Identification and Adaptive Control, Part 3 of 3 deals with system parameter identification and adaptive control. It presents useful techniques for adaptive control systems. This volume begins by presenting a powerful approach to multivariable model reference adaptive control based on the ideas and techniques of disturbance-accommodating control theory. It then discusses the modeling of biological systems; optimal control for air conditioning systems; linear programming for constrained multivariable process control; finite element approximation; development of irreducible state space singular systems; and discrete systems with multiple time scales. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.
Control and Dynamic Systems V28: Advances in Theory and Applications, Part 1
28. raamat · dets 2012 ·
0,0star
Control and Dynamic Systems: Advances in Theory in Applications, Volume 28: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 1 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This book presents algorithms and numerical techniques used for the analysis and control design of stochastic linear systems with multiplicative and additive noise. It also discusses computational techniques for the matrix pseudoinverse in minimum variance reduced-order filtering and control; decomposition technique in multiobjective discrete-time dynamic problems; computational techniques in robotic systems; reduced complexity algorithm using microprocessors; algorithms for image-based tracking; and modeling of linear and nonlinear systems. This volume will be an important reference source for practitioners in the field who are looking for techniques with significant applied implications.
Control and Dynamic Systems V29: Advances in Theory and Applications, Part 2
29. raamat · jaan 1988 ·
0,0star
Control and Dynamic Systems: Advances in Theory in Applications, Volume 29: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 2 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This volume discusses some computational problems which arose in the applications of Kalman filters. It also examines system fault detection techniques; computational techniques in angle-only tracking filtering; development of real-time knowledge of system parameters; and algorithms for decentralized systems with application to stream water quality. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.
Control and Dynamic Systems V32: Advances in Aerospace Systems Dynamics and Control Systems Part 2 of 3: Advances in Theory and Applications, Part 2
32. raamat · dets 2012 ·
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Control and Dynamic Systems: Advances in Theory in Applications, Volume 32: Advances in Aerospace Systems Dynamics and Control Systems, Part 2 of 3 deals with significant advances in technologies which support the development of aerospace systems. It also presents several algorithms and computational techniques used in complex aerospace systems. After discussing flight management systems (FMS), this volume presents techniques for treating complex aerospace systems models. These techniques include parameter identification, asymptotic perturbation method, reliability techniques, constrained optimization techniques, and computation methods for decoy discrimination and optimal targeting. This book is an excellent reference for research and professional workers in the field who want a comprehensive source of techniques with significant applied implications.
Control and Dynamic Systems V33: Advances in Aerospace Systems Dynamics and Control Systems Part 3 of 3: Advances in Theory and Applications, Part 3
33. raamat · dets 2012 ·
0,0star
Control and Dynamic Systems: Advances in Theory in Applications, Volume 33: Advances in Aerospace Systems Dynamics and Control Systems, Part 3 of 3 deals with significant advances in technologies which support the development of aerospace systems. It also presents several algorithms and computational techniques for complex aerospace systems. This book first presents a survey of analytical redundancy techniques to improve turbine engine control systems. It then discusses techniques for remotely piloted vehicles; control configured vehicles (CCV) techniques; aircraft handling; pilot-vehicle dynamics; and optimal control techniques for complex aerospace structure. This text is an excellent reference for research and professional workers in the field who want a comprehensive source of techniques with significant applied implications.
Control and Dynamic Systems V35: Advances in Control Mechanics Part 2 of 2: Advances in Theory and Applications, Part 2
35. raamat · dets 2012 ·
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Advances in Control Mechanics is based on a National Science Foundation-Sponsored Workshop on Control Mechanics, i.e., control system development using analytical methods of mechanics and active control of mechanical systems. Publication of the presentations at this workshop in this Academic Press series has made it possible to expand them into a format which will facilitate the study and utilization of their significant results by working professionals and research workers on the international scene. This book comprises 13 chapters, with the first focusing on recursive Lyapunov functions, particularly their properties and linear systems. Succeeding chapters tackle topics such as the Lyapunov functional approach to uncertain systems governed by functional differential equations with finite time-lag; and stabilizing discrete control laws for Hamiltonian systems. Other chapters cover component model reduction in canonical correlation coordinates; controlling a flexible plate to mimic a rigid one; the modal stability of imperfect cyclic systems; and simultaneous stabilization via low order controllers. The remaining chapters discuss the use of Liapunov techniques for collision-avoidance of robot arms; avoidance control of a two-point mechanical system; coordination controllers for multi-arm manipulators; MRAC techniques with application to robot manipulators; optimal preview controllers based upon explicit trajectory models; and analysis of a robot dragline for mining. This book will be of interest to practitioners in the fields of engineering and aeronautics.
Control and Dynamic Systems V38: Advances in Aeronautical Systems: Advances in Theory and Applications
38. raamat · dets 2012 ·
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Advances in Aeronautical Systems shows that real-time simulation of aeronautical systems is fundamental in the analysis, design, and testing of today's increasingly complex aeronautical systems. Perhaps more important is the fact that simulation, including 3-D vision and motion simulation techniques, is an essential element in pilot training for both commercial and military aircraft. An essential characteristic of all modern aeronautical systems is their avionics system, which is composed of many elements, in particular sensor systems. This book comprises eight chapters, with the first focusing on aircraft automatic flight control system with model inversion. The following chapters then discuss information systems for supporting design of complex human-machine systems and formulation of a minimum variance deconvolution technique for compensation of pneumatic distortion in pressure-sensing devices. Other chapters cover synthesis and validation of feedback guidance laws for air-to-air interceptions; multistep matrix integrators for real-time simulation; the role of image interpretation in tracking and guidance; continuous time parameter estimation: analysis via a limiting ordinary differential equation; and in-flight alignment of inertial navigation systems. This book will be of interest to practitioners in the fields of engineering and aeronautics.