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For control and signal processing engineers, explains a control method that uses feedback to control the variable parameters of the controller itself, offering enhanced flexibility and precision in control of unknown or variable systems. Among the topics are Wiener and adaptive least-mean-square filters, adaptive and inverse plant modeling, plant disturbance canceling, and system integration. Annotation copyright Book News, Inc. Portland, Or.
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The authors address this book to both control engineers and to signal processing engineers. It serves as a reference book for a course on adaptive control or a course on adaptive signal processing. This work is a "signal processing approach" to adaptive control. Some knowledge of statistics and linear algebra would be required.From the Back Cover:
Adaptive inverse control is a novel approach to the design of control systems and regulators. This book takes a "signal processing approach" to adaptive control as used in a natural way to provide model-reference control for a wide variety of plant types. Details examples of how adaptive inverse control can be use to control plants that are unstable as well as stable, nonminimum-phase as well as minimum-phase, nonlinear as well as linear, multiple-input multiple-output (MIMO) as well as single-input single-output (SISO). For control engineers and signal processing engineers.
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Book Description Prentice Hall, 1995. Textbook Binding. Condition: New. 1. Seller Inventory # DADAX0130059684