Zhou, Jing.

Adaptive Backstepping Control of Uncertain Systems Nonsmooth Nonlinearities, Interactions or Time-Variations / [electronic resource] : by Jing Zhou, Changyun Wen. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. - online resource. - Lecture Notes in Control and Information Sciences, 372 0170-8643 ; . - Lecture Notes in Control and Information Sciences, 372 .

Adaptive Backstepping Control Design -- Adaptive Backstepping Control -- Adaptive Control of Time-Varying Nonlinear Systems -- Multivariable Adaptive Control -- Decentralized Stabilization of Interconnected Systems -- Nonsmooth Nonlinearities -- Nonsmooth Nonlinearities -- Backstepping Control of Systems with Backlash Nonlinearity -- Inverse Control of Systems with Backlash Nonlinearity -- Stabilization of Interconnected Systems with Backlash Nonlinearity -- Adaptive Control of Nonlinear Systems with Dead-Zone Nonlinearity -- Adaptive Control of Systems with Input Saturation -- Control of a Hysteretic Structural System in Base Isolation Scheme -- Control of a Piezo-Positioning Mechanism with Hysteresis.

This book presents new methodologies for the design and analysis of adaptive control systems based on the backstepping approach. Our emphasis is on - namic uncertain systems with nonsmooth nonlinearities,such as backlash,de- zone, hysteresis and saturation, or time-varying parameters, or interactions. The backstepping approach, a recursive Lyapunov-based scheme, was p- posed in the beginning of 1990s. With this method the construction of feedback controllawsandLyapunovfunctions issystematic,followingastep-by-stepal- rithm. Backstepping can be used to relax the matching condition, which blocked the traditional Lyapunov-based design. A major advantage of backstepping is that it has the ?exibility to avoid cancellations of useful nonlinearities and achieve regulation and tracking properties. The technique was comprehensively addressed by Krstic, Kanellakopoulos and Kokotovic in [1]. However, there is still no monograph available to address problems such as the handling of n- smooth nonlinearities, time varying parameters and system interactions using this approach. Nonsmooth nonlinearities such as dead-zone, backlash, hysteresis and satu- tion are common in industrial control systems, such as mechanical, hydraulic, biomedical, piezoelectric, and physical systems. Such nonlinearities are usually poorlyknownandmayvarywithtime,andthey oftenlimitsystemperformance.


10.1007/978-3-540-77807-3 doi

Systems theory.
Control Engineering.
Systems Theory, Control.

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