Safe Adaptive Control Data-Driven Stability Analysis and Robust Synthesis /

Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an unstable switched system even in the presence of a stabilizing candidate controlle...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Stefanovic, Margareta (Συγγραφέας), Safonov, Michael G. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2011.
Σειρά:Lecture Notes in Control and Information Sciences, 405
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Stefanovic, Margareta.  |e author. 
245 1 0 |a Safe Adaptive Control  |h [electronic resource] :  |b Data-Driven Stability Analysis and Robust Synthesis /  |c by Margareta Stefanovic, Michael G. Safonov. 
264 1 |a London :  |b Springer London,  |c 2011. 
300 |a XII, 148 p. 89 illus., 21 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 405 
505 0 |a Introduction -- Definitions and Preliminary Facts -- Stability Results -- Generalization to the Time-varying Case -- Switched Adaptive Controller: Robust Synthesis -- Comparison with Other Switching Adaptive Schemes -- Conclusion. 
520 |a Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an unstable switched system even in the presence of a stabilizing candidate controller is demonstrated by referring to several well-known adaptive control approaches, where the system goes unstable when a large mismatch between the unknown plant and the available models exists ("plant-model mismatch instability"). Sufficient conditions for this possibility to be avoided are formulated, and a "recipe" to be followed by the control system designer to guarantee stability and desired performance is provided. The problem is placed in a standard optimization setting. Unlike the finite controller sets considered elsewhere, the candidate controller set is allowed to be continuously parametrized so that it can deal with plants with a very large range of uncertainties. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a System theory. 
650 0 |a Mathematical optimization. 
650 0 |a Control engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Control. 
650 2 4 |a Systems Theory, Control. 
650 2 4 |a Optimization. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Safonov, Michael G.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781849964524 
830 0 |a Lecture Notes in Control and Information Sciences,  |x 0170-8643 ;  |v 405 
856 4 0 |u http://dx.doi.org/10.1007/978-1-84996-453-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)