Nonlinear and Adaptive Control with Applications
By: Astolfi, Alessandro [author.].
Contributor(s): Karagiannis, Dimitrios [author.] | Ortega, Romeo [author.] | SpringerLink (Online service).
Material type:
BookSeries: Communications and Control Engineering: Publisher: London : Springer London, 2008.Description: XVI, 290 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781848000667.Subject(s): Engineering | Energy | Computer graphics | Electric power production | Automotive engineering | Control engineering | Robotics | Mechatronics | Engineering | Control | Automotive Engineering | Energy Technology | Control, Robotics, Mechatronics | Computer Imaging, Vision, Pattern Recognition and Graphics | Energy, generalDDC classification: 629.8 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK641 |
I&I Stabilisation -- I&I Adaptive Control: Tools and Examples -- I&I Adaptive Control: Systems in Special Forms -- Nonlinear Observer Design -- Robust Stabilisation via Output Feedback -- Nonlinear PI Control of Uncertain Systems -- Electrical Systems -- Mechanical Systems -- Electromechanical Systems.
Nonlinear and Adaptive Control with Applications provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms are delivered for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes. These algorithms cater for nonlinear systems with both parametric and dynamic uncertainties. This innovative strategy is illustrated with several examples and case studies from real applications. Power converters, electrical machines, mechanical systems, autonomous aircraft and computer vision are among the practical systems dealt with. Researchers working on adaptive and nonlinear control theory or on control applications will find this monograph of conspicuous interest while graduate students in control systems and control engineers working with electrical, mechanical or electromechanical systems can also gain much insight and assistance from the methods and algorithms detailed.
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