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Algebraic Identification And Estimation Methods In Feedback Control Systems

Author: Hebertt Sira-Ramírez
Publisher: John Wiley & Sons
ISBN: 1118730585
Size: 73.28 MB
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Algebraic Identification and Estimation Methods in FeedbackControl Systems presents a model-based algebraic approach toonline parameter and state estimation in uncertain dynamic feedbackcontrol systems. This approach evades the mathematical intricaciesof the traditional stochastic approach, proposing a directmodel-based scheme with several easy-to-implement computationaladvantages. The approach can be used with continuous and discrete,linear and nonlinear, mono-variable and multi-variable systems. Theestimators based on this approach are not of asymptotic nature, anddo not require any statistical knowledge of the corrupting noisesto achieve good performance in a noisy environment. Theseestimators are fast, robust to structured perturbations, and easyto combine with classical or sophisticated control laws. This book uses module theory, differential algebra, andoperational calculus in an easy-to-understand manner and alsodetails how to apply these in the context of feedback controlsystems. A wide variety of examples, including mechanical systems,power converters, electric motors, and chaotic systems, are alsoincluded to illustrate the algebraic methodology. Key features: Presents a radically new approach to online parameter and stateestimation. Enables the reader to master the use and understand theconsequences of the highly theoretical differential algebraicviewpoint in control systems theory. Includes examples in a variety of physical applications withexperimental results. Covers the latest developments and applications. Algebraic Identification and Estimation Methods in FeedbackControl Systems is a comprehensive reference for researchersand practitioners working in the area of automatic control, and isalso a useful source of information for graduate and undergraduatestudents.

Variance Constrained Multi Objective Stochastic Control And Filtering

Author: Lifeng Ma
Publisher: John Wiley & Sons
ISBN: 1118929462
Size: 41.61 MB
Format: PDF, ePub, Docs
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Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance Includes case studies of several nonlinear stochastic systems Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations Considers both time-invariant systems and time-varying systems Exploits newly developed techniques to handle the emerging mathematical and computational challenges

Formation Control Of Multi Agent Systems

Author: Marcio de Queiroz
Publisher: John Wiley & Sons
ISBN: 1118887441
Size: 44.35 MB
Format: PDF, Kindle
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Uses the concept of graph rigidity as the basis for describing the multi-agent formation geometry and solving formation control problems. Considers different agent models and formation control problems. Control designs throughout the book progressively build upon each other. Provides a primer on rigid graph theory. Combines theory, computer simulations, and experimental results Market description: Primary: Researchers and practitioners working in the areas of control systems, robotics and multi-agent systems. Secondary: Graduate students in control systems, robotics, and multi-agent systems"--