Control and Dynamic Systems V56: Digital and Numeric Techniques and Their Application in Control Systems: Advances in Theory and Applications, Part 2
Academic Press, Dec 2, 2012 - Technology & Engineering - 590 pages
Control and Dynamic Systems: Advances in Theory and Applications, Volume 56: Digital and Numeric Techniques and their Applications in Control Systems, Part 2 of 2 covers the significant developments in digital and numerical techniques for the analysis and design of modern complex control systems.
This volume is composed of 12 chapters and starts with a description of the design techniques of linear constrained discrete-time control systems. The subsequent chapters describe the techniques dealing with robust real-time system identification, the adaptive control algorithms, and the utilization of methods from generalized interpolation and operator theory to deal with a wide range of problems in robust control. These topics are followed by reviews f the decentralized control design for interconnected uncertain systems; the computation of frequency response of descriptor systems by rational interpolation; the techniques for the synthesis of multivariable feedback control laws; and the effect of the initial condition in state estimation for discrete-time linear systems. Other chapters illustrate practical, efficient, and reliable numerical algorithms for robust multivariable control design of linear time-invariant systems, as well as a complete analysis of closed-loop transfer recovery in discrete-time systems using observer-based controllers. The last chapters provide the techniques in robust policy-making in the global economic environment and the implications of robust control techniques for continuous-time systems.
This book will prove useful to process, control, systems, and design engineers.
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Chapter 2 Robust Identification Of ContinuousTime Multivariable Systems Using Numerical Integration Methods
Chapter 3 Techniques in DiscreteTime Robust Adaptive Control
Chapter 4 Generalized Interpolation Theory and Its Application to Robust Control Design
Chapter 5 Decentralized Control Design for Interconnected Uncertain Systems
Chapter 6 Computation of Frequency Response of Descriptor Systems by Rational Interpolation
Chapter 7 RealComplex KmSynthesis without Curve Fitting
Chapter 8 ON THE EFFECTS OF THE INITIAL CONDITION IN STATE ESTIMATION FOR DISCRETETIME LINEAR SYSTEMS
Chapter 9 Robust Control Design Using Parameter Optimization Techniques
Chapter 10 Closed Loop Transfer Recovery for Discrete Time Systems
Chapter 11 A Technique in Robust Game Theoretic Methods with Application to International ConflictSolving
Chapter 12 DISCRETETIME H CONTROL AND OPTIMIZATION
adaptive control algorithm analysis approach assumption asymptotically Automatic Control bounded closed-loop system closed-loop transfer function CLTR Commutant Lifting Theorem computation Consider constraints continuous-time control design control law control system convergence corresponding deﬁned deﬁnition denote Discrete-time discrete-time systems distribution dynamics eigenvalues eigenvectors equation equivalent error estimator based controller exists feedback ﬁltering ﬁnd ﬁnite ﬁrst ﬁxed formulation frequency response Gaussian given IEEE input integration interpolation LCRP Lemma linear programming linear systems matrix exponential method mid-point rule minimization minimum phase multivariable noise non—Gaussian norm nucleolus numerical obtained optimal control optimization problem output parameter estimates plant model player pole placement polyhedral set polynomial positively invariant set Proof recovery Riccati equation robust control robust identiﬁcation satisﬁes scalar sequence set of initial singular value solve speciﬁc stability margin state-space Step sufﬁcient target loop techniques Theorem theory Transactions on Automatic transformation uncertainty vector zero