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Journal ArticleDOI

Autonomous control reconfiguration

H.E. Rauch
- 01 Dec 1995 - 
- Vol. 15, Iss: 6, pp 37-48
TLDR
In this article, two specific approaches are presented for autonomous control reconfiguration, particularly as it relates to fault accommodation and learning systems, to illustrate the types of difficulties encountered and to serve as a focus.
Abstract
This article looks at autonomous control reconfiguration, particularly as it relates to fault accommodation and learning systems. To illustrate the types of difficulties encountered and to serve as a focus, two specific approaches are presented. The first approach uses multiple models to represent uncertain system characteristics. The example application is interceptor terminal guidance with unknown target maneuvers. The second approach uses a single model with adaptive techniques for updating uncertain system characteristics.

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Citations
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Journal ArticleDOI

Bibliographical review on reconfigurable fault-tolerant control systems

TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
Journal ArticleDOI

Fault-Tolerant Control: The 1997 Situation

TL;DR: The state of the art is outlined in a field which remains largely a theoretical topic with most application studies based upon aerospace systems and a basic literature review covering most areas of fault-tolerant control is provided.
Journal ArticleDOI

Fault-tolerant drive-by-wire systems

TL;DR: In this paper, a review of electronic driver assisting systems such as ABS, traction control, electronic stability control, and brake assistant is presented, along with fault-detection methods for use in low-cost components.

Fault-tolerant control systems: the 1997 situation

Ron J. Patton
TL;DR: The state of the art in a field which remains largely a theoretical topic with most application studies based upon aerospace systems is outlined and the directions in which the subject is going are summarised.
Journal ArticleDOI

Integrated active fault-tolerant control using IMM approach

TL;DR: In this paper, an integrated fault detection, diagnosis, and reconfigurable control scheme based on interacting multiple model (IMM) approach is proposed, which can deal with not only actuator and sensor faults, but also failures in, system components.
References
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A general regression neural network

TL;DR: The general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure that provides smooth transitions from one observed value to another.
Journal ArticleDOI

Probabilistic neural networks

TL;DR: A probabilistic neural network that can compute nonlinear decision boundaries which approach the Bayes optimal is formed, and a fourlayer neural network of the type proposed can map any input pattern to any number of classifications.
Journal ArticleDOI

Fuzzy basis functions, universal approximation, and orthogonal least-squares learning

TL;DR: Using the Stone-Weierstrass theorem, it is proved that linear combinations of the fuzzy basis functions are capable of uniformly approximating any real continuous function on a compact set to arbitrary accuracy.
Journal ArticleDOI

Neural-network-based fuzzy logic control and decision system

TL;DR: A general neural-network (connectionist) model for fuzzy logic control and decision systems is proposed, in the form of feedforward multilayer net, which avoids the rule-matching time of the inference engine in the traditional fuzzy logic system.
Journal ArticleDOI

Adaptation and learning using multiple models, switching, and tuning

TL;DR: A general methodology for the design of adaptive control systems which can learn to operate efficiently in dynamical environments possessing a high degree of uncertainty is presented.
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