Applications of Singular Perturbation Techniques to Control Problems

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electronics Program / N00014-79-C-0424National Science Foundation / NSF ECS 82-1763

Adaptive nonlinear output-feedback schemes with Marino-Tomei controller

Abs&mt-Three new adaptive nonlinear output-feedback schemes are presented. The first scheme employs the tuning functions design. The other two employ a novel estimation-based design consisting of a strengthened controller-observer pair and observer-based and swappingbased identifiers. They remove restrictive growth and matching conditions present in the previous output-feedback nonlinear estimation-based designs and allow a systematic improvement of transient performance

Near-Optimal Feedback Stabilization of a Class of Nonlinear Singularly Perturbed Systems

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electronics Program / DAAB-07-72-C-0259National Science Foundation / ENG 74-20091Energy Research and Development Administration, Electric Energy Systems Division / U.S. ERDA EX-76-C-01-208

Robust Adaptive Nonlinear Control Under Extended Matching Conditions

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryNational Science Foundation / ECS 87-15811Air Force Office of Scientific Research / AFOSR 90-001

Adaptive Control Of Systems with Actuator and Sensor Nonlinearrities

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Global adaptive stabilization of cascade nonlinear systems

An adaptive controller is developed for a class of nonlinear systems for which other approaches (e.g. backstepping) may fail to be applicable. The new design employs feedback passivation and an explicit construction of a Lyapunov function for the zero dynamics with respect to a relative degree 1 output. As an illustration a longstanding "nonlinear benchmark problem" is solved

A dynamic extension for LgV controllers

A dynamic state feedback control structure is proposed in this paper. The scheme is conceived as an adaptive controller with the equilibrium in an LgV control law as the uncertain parameter, which allows the implementation of the controller for systems with unknown equilibrium. A new property of LgV controllers is given, and it is proven that this and other important properties carry on to the proposed scheme. A synchrnous machine case study shows that the proposed scheme may give better results than the LgV controller from which it is derived