Control And Dynamic Systems V27
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Control and Dynamic Systems V27
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 V13
Control and Dynamic Systems: Advances in Theory and Applications, Volume 13 discusses the techniques of control and dynamic systems and their applications to modern complex systems. This book begins by discussing the application of modern optimal theory in the operation of large scale power systems. It then describes how to synthesize suspension forces for high-speed tracked vehicles. The succeeding chapters present examples of economizing problems; application of optimization techniques to aerospace vehicle problems; distributed parameter optimal design problem under dynamic loads; optimization of spacecraft; and stability problems in interconnected systems. Engineering students studying the application of control and dynamics to modern complex systems will find this book very useful.
Control and Dynamic Systems V30: Advances in Algorithms and Computational Techniques in Dynamic System Control Part 3 of 3
Control and Dynamic Systems: Advances in Theory in Applications, Volume 30: Advances in Algorithms and Computational Techniques in Dynamic Systems Control, Part 3 of 3 discusses developments in algorithms and computational techniques for control and dynamic systems. This volume begins with the issue of decision making or optimal control in the natural environment. It then discusses large-scale systems composed of multiple sensors; algorithms for systems with multiplicative noise; stochastic differential games; Markovian targets; low-cost microcomputer and true digital control systems; and algorithms for the design of teleoperated systems. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.