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Feedback control systems. --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems
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Feedback control systems. --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems
Choose an application
Feedback control systems. --- Automatic control. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Feedback mechanisms --- Feedback systems --- Automatic control --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems
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Control theory. --- Feedback control systems. --- Reinforcement learning. --- Machine learning --- Reinforcement (Psychology) --- Learning classifier systems --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Dynamics --- Machine theory
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"Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique. Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems. Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, China.
Robust control --- Feedback control systems --- Mathematical models. --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Robustness (Control systems) --- Systems theory. --- Control and Systems Theory. --- Systems Theory, Control. --- Control engineering. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Philosophy
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This book covers the most important issues from classical and robust control, deterministic and stochastic control, system identification, and adaptive and iterative control strategies. It covers most of the known control system methodologies using a new base, the Youla parameterization (YP). This concept is introduced and extended for TDOF control loops. The Keviczky-Banyasz parameterization (KP) method developed for closed loop systems is also presented. The book is valuable for those who want to see through the jungle of available methods by using a unified approach, and for those who want
Feedback control systems. --- Linear control systems. --- Robust control. --- State-space methods. --- Automatic control. --- Automatic control --- Mathematical models. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Feedback mechanisms --- Feedback systems --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems
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Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability discusses the important topics revolving around the control of complex uncertain systems using the intelligent coordination control mechanism, a topic that has become the research focus of current control and computer fields. The book provides theoretical guidance for power distribution network reliability analysis, focusing on practical problems and algorithms within the field.
Feedback control systems. --- Control theory. --- Dynamics --- Machine theory --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Electric power distribution --- Reliability. --- Electricity --- Power distribution, Electric --- Electric power systems --- Power transmission --- Electric power transmission --- Electrification --- Distribution
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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank
Niet-lineaire systemen. --- Nonlinear systems -- Mathematical models. --- Optimaliseren. --- Adaptive control systems --- Feedback (Electronics) --- Feedback control systems. --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Feedforward control systems --- Amplifiers, Vacuum-tube --- Electronics --- Vacuum-tube circuits --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Self-organizing systems
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This book contains a derivation of the subset of stabilizing controllers for analog and digital linear time-invariant multivariable feedback control systems that insure stable system errors and stable controller outputs for persistent deterministic reference inputs that are trackable and for persistent deterministic disturbance inputs that are rejectable. For this subset of stabilizing controllers, the Wiener-Hopf methodology is then employed to obtain the optimal controller for which a quadratic performance measure is minimized. This is done for the completely general standard configuration and methods that enable the trading off of optimality for an improved stability margin and/or reduced sensitivity to plant model uncertainty are described. New and novel results on the optimal design of decoupled (non-interacting) systems are also presented. The results are applied in two examples: the one- and three-degree-of-freedom configurations. These demonstrate that the standard configuration is one encompassing all possible feedback configurations. Each chapter is completed by a group of worked examples, which reveal additional insights and extensions of the theory presented in the chapter. Three of the examples illustrate the application of the theory to two physical cases: the depth and pitch control of a submarine and the control of a Rosenbrock process. In the latter case, designs with and without decoupling are compared. This book provides researchers and graduate students working in feedback control with a valuable reference for Wiener–Hopf theory of multivariable design. Basic knowledge of linear systems and matrix theory is required.
Feedback control systems --- Automatic control. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Feedback mechanisms --- Feedback systems --- Automatic control --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Design. --- Philosophy --- Control engineering. --- Control and Systems Theory. --- Systems Theory, Control. --- Automatic control engineering.
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Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This book presents an effective, flexible family of estimation algorithms that can be used in estimating or controlling a variety of nonlinear plants. Several applications are studied, including tracking a manoeuvring aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background and then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the book, they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practising engineers involved in the design of estimation, tracking or wireless communications systems.
Feedback control systems. --- Estimation theory. --- Nonlinear theories. --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- Feedback mechanisms --- Feedback systems --- Automatic control --- Automation --- Discrete-time systems --- Adaptive control systems --- Feedforward control systems --- Estimation theory --- Feedback control systems --- Nonlinear theories --- #KVIV:BB --- 681.3*I2 --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI
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