Ebook: Adaptive Control, Filtering, and Signal Processing

The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, over the past decade much fundamental progress has been made on some key questions concerning their stability, convergence, performance, and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace.

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Content:
Front Matter....Pages i-xviii
Oscillations in Systems with Relay Feedback....Pages 1-25
Compatibility of Stochastic and Worst Case System Identification: Least Squares, Maximum Likelihood and General Cases....Pages 27-41
Some Results for the Adaptive Boundary Control of Stochastic Linear Distributed Parameter Systems....Pages 43-64
LMS is H ? Optimal....Pages 65-88
Adaptive Control of Nonlinear Systems: A Tutorial....Pages 89-133
Design Guidelines for Adaptive Control with Application to Systems with Structural Flexibility....Pages 135-163
Estimation-Based Schemes for Adaptive Nonlinear State-Feedback Control*....Pages 165-198
An Adaptive Controller Inspired by Recent Results on Learning from Experts....Pages 199-204
Stochastic Approximation with Averaging and Feedback: Faster Convergence....Pages 205-228
Building Models from Frequency Domain Data....Pages 229-239
Supervisory Control....Pages 241-270
Potential Self-Tuning Analysis of Stochastic Adaptive Control....Pages 271-298
Stochastic Adaptive Control....Pages 299-325
Optimality of the Adaptive Controllers....Pages 327-344
Uncertain Real Parameters with Bounded Rate of Variation....Pages 345-349
Averaging Methods for the Analysis of Adaptive Algorithms....Pages 351-358
A Multilinear Parametrization Approach for Identification of Partially Known Systems....Pages 359-373
Adaptive Filtering with Averaging....Pages 375-396

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Content:
Front Matter....Pages i-xviii
Oscillations in Systems with Relay Feedback....Pages 1-25
Compatibility of Stochastic and Worst Case System Identification: Least Squares, Maximum Likelihood and General Cases....Pages 27-41
Some Results for the Adaptive Boundary Control of Stochastic Linear Distributed Parameter Systems....Pages 43-64
LMS is H ? Optimal....Pages 65-88
Adaptive Control of Nonlinear Systems: A Tutorial....Pages 89-133
Design Guidelines for Adaptive Control with Application to Systems with Structural Flexibility....Pages 135-163
Estimation-Based Schemes for Adaptive Nonlinear State-Feedback Control*....Pages 165-198
An Adaptive Controller Inspired by Recent Results on Learning from Experts....Pages 199-204
Stochastic Approximation with Averaging and Feedback: Faster Convergence....Pages 205-228
Building Models from Frequency Domain Data....Pages 229-239
Supervisory Control....Pages 241-270
Potential Self-Tuning Analysis of Stochastic Adaptive Control....Pages 271-298
Stochastic Adaptive Control....Pages 299-325
Optimality of the Adaptive Controllers....Pages 327-344
Uncertain Real Parameters with Bounded Rate of Variation....Pages 345-349
Averaging Methods for the Analysis of Adaptive Algorithms....Pages 351-358
A Multilinear Parametrization Approach for Identification of Partially Known Systems....Pages 359-373
Adaptive Filtering with Averaging....Pages 375-396
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