# Control '98. UKACC International Conference on (Conf. Publ. No. 455)

## Filter Results

Displaying Results 1 - 25 of 153
• ### On-line optimization and monitoring of power plant performance through machine learning techniques

Publication Year: 1998, Page(s):257 - 262 vol.1
Cited by:  Papers (1)
| | PDF (684 KB)

This paper describes TOPGEN, a collaborative project for the demonstration of research results in the field of advanced control and optimization of a power plant. The project is partially funded by the European ESPRIT programme. In TOPGEN, several related technologies are being jointly tested on a 200 MW generating unit of Ballylumford Power Station, Northern Ireland. The objective is to provide o... View full abstract»

• ### Noise sensitivity of fast output sampling controllers

Publication Year: 1998, Page(s):252 - 256 vol.1
| | PDF (360 KB)

Fast output sampling controllers have been proposed as an alternative to observer-based state feedback control. However, a typical problem with this type of controller is noise sensitivity due to large feedback gains. In this paper, it is proposed to allow a small deviation from the exact solution to the design problem in order to reduce noise sensitivity. This can be achieved by posing the design... View full abstract»

• ### Parameter estimation of a heating system using a genetic algorithm

Publication Year: 1998, Page(s):195 - 200 vol.1
Cited by:  Papers (2)
| | PDF (452 KB)

Presents a genetic algorithm (GA)-based method for the online parameter estimation of a heating system. A more commonly used recursive least square (RLS) estimator is compared with the GA estimator. Both the methods are used with the generalised predictive controller (GPC), to provide self-tuning control to the heating system. Results show that the GA estimates are accurate, its performance is not... View full abstract»

• ### Local sensor fault detection using Bayesian decision theory

Publication Year: 1998, Page(s):247 - 251 vol.1
Cited by:  Papers (10)
| | PDF (340 KB)

This paper describes an application of Bayesian likelihood ratio tests to the detection of faults within a sensor. In particular, it concentrates on detecting changes in sensor variance by analysing the residuals of an ARMA model of the sensor output. The proposed technique is implemented for a fault resulting from a change in the variance of one of the inputs of a sensor model. A Bayesian likelih... View full abstract»

• ### Zero dynamics, zeros and reachable/observable structure in MIMO LTI systems

Publication Year: 1998, Page(s):189 - 194 vol.1
| | PDF (460 KB)

We provide an analysis of system dynamics in sliding along the switching manifold. A general form of system trajectories on the switching surface as well as a general form of continuous controls which hold the system trajectories on the switching surface are obtained. As it is shown, the behaviour of the system in sliding is governed by a matrix which fully characterizes system zeros. When the sys... View full abstract»

• ### Training neural networks for robust control of nonlinear MIMO systems

Publication Year: 1998, Page(s):241 - 246 vol.1
Cited by:  Papers (1)
| | PDF (388 KB)

A training strategy for computational neural networks is introduced that paves the way for incorporation of neural networks in robust control design for nonlinear multiple input, multiple output systems. The proposed training strategy enables utilization of statistical properties of the least-squares estimate. A control strategy that has a structural similarity to an adaptive control structure is ... View full abstract»

• ### Integrated squared error and integrated absolute error in recursive identification of continuous-time plants

Publication Year: 1998, Page(s):693 - 698 vol.1
Cited by:  Papers (1)
| | PDF (472 KB)

Two ways of the continuous-time approach to continuous-time identification based on least-squares and least-absolute errors are proposed. The developed continuous-time estimation schemes are discretised and exercised in a numerical simulation study View full abstract»

• ### Supervisory control design for real-time discrete event systems

Publication Year: 1998, Page(s):838 - 844 vol.1
| | PDF (480 KB)

This paper deals with the development of algorithms for a software tool that derives the supervisory controller of a real-time discrete event system modelled using timed automata. An example and graphical abstractions are used to demonstrate the algorithmic work, methodology and design environment View full abstract»

• ### A modern method for field-oriented control of saturated induction machine

Publication Year: 1998, Page(s):183 - 188 vol.1
| | PDF (340 KB)

Presents a method for field-oriented control of saturated induction machines. The proposed method is based on a model that utilises the angular speed of air-gap magnetising flux instead of magnetising current derivatives (classical method). Because the volume of calculations is seriously reduced, this method is an important contribution to the intelligent control of induction machines. By adequate... View full abstract»

• ### Morphological filtering and convolution

Publication Year: 1998, Page(s):235 - 240 vol.1
Cited by:  Papers (1)
| | PDF (444 KB)

This paper presents a new class of nonlinear filtering for 1D and 2D periodic signals buried in noise. Morphological filters are convolved with proper transfer function. The resulted filter, called convolved morphological filter, shows better performance both in time and frequency domain, compared with the performance of individually applied MF and convolution View full abstract»

• ### Support vector machines for system identification

Publication Year: 1998, Page(s):688 - 692 vol.1
Cited by:  Papers (20)
| | PDF (428 KB)

Support vector machines (SVM) are used for system identification of both linear and nonlinear dynamic systems. Discrete time linear models are used to illustrate parameter estimation and nonlinear models demonstrate model structure identification. The VC-dimension of a trained SVM indicates the model accuracy without using separate validation data. We conclude that SVM have potential in the field ... View full abstract»

• ### A practical and useful self-learning fuzzy controller

Publication Year: 1998, Page(s):290 - 295 vol.1
| | PDF (464 KB)

Describes the implementation and application tests of a simple and useful self-learning fuzzy controller. The proposed controller is able to perform a model-free control of time-variable plants with little prior information. Based on a simple and fast learning algorithm that emulates the human learning process, the fuzzy controller self-adapts its control surface at a rate of 150 updates per secon... View full abstract»

• ### Soft control desks-the operator interface

Publication Year: 1998, Page(s):567 - 571 vol.1
| | PDF (364 KB)

Operator interfaces to control systems are moving rapidly with the changes in technology-away from traditional hard desks' to totally computer based systems with VDU displays and mouse' input (soft desks). Such a transition represents a major cultural change for operating staff. The paper describes some of the issues associated with such a change, the overall approach taken within National Power... View full abstract»

• ### Evaluation of a remote boundary pressure control strategy using Simulink

Publication Year: 1998, Page(s):129 - 134 vol.1
| | PDF (380 KB)

The emphasis within British Gas has moved from the construction aspects of the natural gas transmission system, to one of investigating methods of optimising the operational efficiency of the existing pipeline network. In particular, the developments which have taken place in the area of microprocessor technology have provided the opportunity to implement improved control strategies in areas where... View full abstract»

• ### Adaptive feedforward control for dynamic positioning of ships

Publication Year: 1998, Page(s):428 - 432 vol.1
| | PDF (368 KB)

Feedforward control is used in the dynamic positioning (DP) of ships to improve the tracking of reference changes. Model mismatch between the feedforward controller and the real ship can degrade the performance. An adaptive feedforward controller is presented, which estimates model parameters. It avoids many of the problems associated with closed-loop identification by utilising square-root inform... View full abstract»

• ### A case study in the automatic programming of a PLC based control system using Statemate statecharts

Publication Year: 1998, Page(s):832 - 837 vol.1
Cited by:  Papers (1)
| | PDF (768 KB)

Programmable logic controllers (PLCs) are commonly used in the implementation of industrial control systems. Statecharts are a suitable tool for the specification of complex reactive control systems. Statemate produced by iLogix Inc. enables the design, validation and simulation of a statechart model. The authors (1998) have previously developed a methodology and supporting software to enable the ... View full abstract»

• ### A variable structure compensator for rate and amplitude constrained systems

Publication Year: 1998, Page(s):555 - 560 vol.1
| | PDF (472 KB)

This paper presents a variable structure compensation framework for control systems subject to both rate and amplitude constraints. A fixed structure compensation framework, equivalent to a class of control synthesis, is first presented for systems subject to rate and amplitude constraints. Variable structure compensators are then obtained by pooling the fixed structure ones. The important issues ... View full abstract»

• ### Specification and verification of behavioural properties of fault diagnosis

Publication Year: 1998, Page(s):398 - 403 vol.1
| | PDF (464 KB)

Properties of physical systems impose behavioural and temporal constraints upon control and diagnosis procedures and programs. It is necessary to specify and verify behavioural and temporal properties of physical systems and their computer programs. To define how time constraints of physical systems effect control and diagnosis programs, these properties should be analysed in two consequent phases... View full abstract»

• ### An improved parameter estimation method using limit cycle data

Publication Year: 1998, Page(s):682 - 687 vol.1
Cited by:  Papers (6)
| | PDF (376 KB)

The paper introduces the A-locus method which is an exact method for limit cycle investigation in relay controlled loops for parameter estimation for stable FOPDT and SOPDT transfer functions. The method has also been extended to unstable FOPDT and SOPDT transfer functions since it is possible to have unstable plant models for some chemical processes. The method gives two advantages. First, the st... View full abstract»

• ### Multiobjective optimisation of robot location in a workcell using genetic algorithms

Publication Year: 1998, Page(s):757 - 762 vol.1
Cited by:  Papers (2)  |  Patents (1)
| | PDF (596 KB)

The paper deals with the automatic planning of robotic cell layout using multiobjective optimisation technique. The genetic algorithm developed allows one to reduce computing efforts by “growing” the required Pareto-optimal set from a small number of initial Pareto-optimal solutions that are located at the nodes of a rough grid. Various simulation results have demonstrated the efficien... View full abstract»

• ### Stable compensation of right half plane zeros in multivariable processes with time delays

Publication Year: 1998, Page(s):269 - 274 vol.1
| | PDF (440 KB)

It is known that the right half s-plane zeros (RHPZ) have negative effects on the control of a process. Those processes having time delays may have infinite number of RHPZ. This problem can be overcome by factorizing the system into two parts: one having RHP zeros and the other not. Inserting some poles at the location of the minor images of the RHPZ minimizes the integral squared error. However, ... View full abstract»

• ### Design of reduced-order feedforward controller

Publication Year: 1998, Page(s):207 - 212 vol.1
Cited by:  Papers (3)
| | PDF (544 KB)

The design of a linear, reduced-order, continuous or discrete-time feedforward controller (FFC) is presented. The FFC is located in the reference value branch of a linear feedback system of any order which is designed according to the damping optimum. The aim of the FFC is to decrease the control system reference response time, while retaining a low overshoot and a well-damped form of the referenc... View full abstract»

• ### Adaptive learning and neural networks in fault diagnosis

Publication Year: 1998, Page(s):284 - 289 vol.1
Cited by:  Papers (2)
| | PDF (600 KB)

Neural networks provide a solution to overcome some of the drawbacks of quantitative fault diagnosis because they are capable of modelling systems by using training data off-line. The neural networks are particularly good for fault diagnosis of systems that have few a priori and imperfect and/or noisy data. Two basic learning methods and their application to fault diagnosis were studied: supervise... View full abstract»

• ### The use of symbolic algebra for sliding mode controller design

Publication Year: 1998, Page(s):123 - 128 vol.1
| | PDF (436 KB)

Dynamic sliding mode control policies based around differential input-output system representations provide a relatively general solution to the problem of robust control of nonlinear systems. This paper considers the implementation of these schemes within symbolic computation packages to provide a nonlinear sliding mode controller design environment View full abstract»

• ### Model predictive control of a chemical process using neural networks

Publication Year: 1998, Page(s):798 - 803 vol.1
Cited by:  Papers (2)
| | PDF (508 KB)

A simulation study on the control of a multivariable chemical process by using a neural network model predictive control strategy is described in this paper. The laboratory process, in which temperature, pH and dissolved oxygen are involved, has characteristics typical of industrial processes. The main difficulties in control of this process are non-linearity, coupling effects among variables and ... View full abstract»