Showing papers by "Edward J. Davison published in 1997"
01 Jan 1997
TL;DR: This paper summarizes a switching approach to adaptive control which has been investigated by the authors over the last ten years and considers both the stabilization problem, and the tracking and disturbance regulation problem.
Abstract: In this paper we briefly summarize a switching approach to adaptive control which has been investigated by the authors over the last ten years. In this approach, we do not carry out plant estimation, but rather we switch between a pre-defined set of controllers in accordance with an auxiliary switching signal. We consider both the stabilization problem, and the tracking and disturbance regulation problem. The advantage of this approach is that the amount of plant uncertainty which can be tolerated is typically larger than that tolerated by traditional estimator-based adaptive controllers. In this paper we give a brief overview of our work in this area as well as a brief sketch of the historical development.
7 citations
TL;DR: In this paper, a self-tuning proportional-integral-derivative controller for open loop asymptotically stable MIMO systems is presented for continuous time multivariable systems.
6 citations
01 Feb 1997
TL;DR: It is shown that the often used classical fuzzy controller, which is both static and time invariant, is incapable of stabilizing such types of plants, but a simple modification to the classical fuzzy controllers architecture that separates the measurement and control phases, together with a hierarchical control strategy, enable the unstable and unintuitive plant to be stabilized.
Abstract: A heuristically derived stabilization strategy for an unstable and unintuitive plant by fuzzy control is described. It is shown that the often used classical fuzzy controller, which is both static and time invariant, is incapable of stabilizing such types of plants. However, a simple modification to the classical fuzzy controller architecture that separates the measurement and control phases, together with a hierarchical control strategy, enable the unstable and unintuitive plant to be stabilized. The fuzzy control strategy, as well as the new fuzzy controller architecture, are based on the consideration of "what a human subject would do when dealing with a physical plant which is both unstable and unintuitive". The stabilization strategy is then generalized to other mathematically similar systems. While the rules for the stabilization of the plant are heuristically defined, the membership functions associated with the rules are tuned by a simulated annealing procedure.
5 citations
TL;DR: In this paper, an overview of a class of intelligent servomechanism controllers is given, which is based on the results of [Miller, Davison (1989)], [Change, DAVison (1994a)] (Sec. 7.3).
4 citations
TL;DR: A digital control law together with a zero order hold forms a time-varying controller for continous-time systems, and a condition under which the resulted decentralized digital controller improves the performance of the continuous system is discussed.
2 citations
01 Jul 1997
TL;DR: A controller which solves the controller "reset windup problem" for the multivariable servomechanism problem with immeasurable constant disturbances, using a switching adaptive controller, is proposed; an advantage is that no mathematical model of the plant is required in order to implement it.
Abstract: A controller which solves the controller "reset windup problem" for the multivariable servomechanism problem with immeasurable constant disturbances, using a switching adaptive controller, is proposed; an advantage of the controller is that no mathematical model of the plant is required in order to implement it. Real time experimental results of this controller when applied to a multivariable system are given.
2 citations