Dynamic Surface Control of Uncertain Nonlinear Systems [electronic resource] : An LMI Approach / by Bongsob Song, J. Karl Hedrick.Material type: TextLanguage: English Series: Communications and Control Engineering: Publisher: London : Springer London, 2011Description: XIV, 254 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780857296320Subject(s): Engineering | Systems theory | Engineering | Control | Systems Theory, Control | Automotive EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 629.8 LOC classification: TJ212-225Online resources: Click here to access online
Introduction -- Dynamic Surface Control -- Robustness to Uncertain Nonlinear Systems. Observer-based Dynamic Surface Control -- Constrained Stabilization Considering Input Saturation -- Fault-tolerant Control -- Fault-tolerant Control System for AHS -- Application to Mechanical Interconnected Systems -- Appendix: Proofs of Lemmas.
Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case using the new dynamic surface control (DSC) algorithm developed by the authors. A variety of problems – DSC design, output feedback, input saturation and fault-tolerant control among them – are considered. The inclusion of applications material demonstrates the real significance of the DSC algorithm, which is robust and easy to use, for nonlinear systems with uncertainty in automotive and robotics. Written for the researcher and graduate student of nonlinear control theory, this book will provide the applied mathematician and engineer alike with a set of powerful tools for nonlinear control design. It will also be of interest to practitioners working with a mechatronic systems in aerospace, manufacturing and automotive and robotics, milieux.