# IEE Proceedings - Control Theory and Applications

## Filter Results

Displaying Results 1 - 17 of 17
• ### Robust frequency shaping sliding mode control

Publication Year: 2000, Page(s):312 - 320
Cited by:  Papers (9)  |  Patents (1)
| | PDF (556 KB)

Frequency shaping, linked with linear quadratic optimal and sliding mode control, is a technique for controlling systems with uncertainties. The authors propose some methods for designing the sliding surface and sliding mode control when the LQ weighting functions are not constant at all frequencies. Furthermore, they introduce conditions for which the spectrum of the original reduced system is a ... View full abstract»

• ### Neural network-based H∞ tracking control for robotic systems

Publication Year: 2000, Page(s):303 - 311
Cited by:  Papers (13)
| | PDF (656 KB)

An adaptive H∞ tracking control design is proposed for robotic systems under plant uncertainties and external disturbances. Three important control design techniques, i.e. nonlinear H∞ tracking theory, variable structure control algorithm and neural network control design, are combined to construct a hybrid adaptive-robust tracking control scheme which ensures tha... View full abstract»

• ### Design of dynamic neural observers

Publication Year: 2000, Page(s):257 - 266
Cited by:  Papers (1)
| | PDF (696 KB)

A design of a nonlinear dynamic observer is proposed for determining the states of a nonlinear system. The design method uses a multi-layered feedforward neural network (MFNN) to approximate the nonlinear Kalman gain. Two different criteria are proposed for the network training. The training is based on a gradient descent algorithm that uses block partial derivatives. Simulation results on Van der... View full abstract»

• ### Multirate-sampled digital feedback system design via a predictive control approach

Publication Year: 2000, Page(s):293 - 302
| | PDF (740 KB)

Utilising a model-based predictive control methodology, the paper describes the synthesis of two-degrees-of-freedom digital controllers in which either the control or measured variable is relatively fast-sampled. In contrast with previous related contributions, which were predicated upon state-space representations and viewed the use of unconventional sampling strategies as a means of providing ad... View full abstract»

• ### Polynomial LQG synthesis of subrate digital feedback systems

Publication Year: 2000, Page(s):247 - 256
| | PDF (764 KB)

Describes the optimal synthesis of digital feedback systems in which the plant output signal is sampled at a faster rate than the control is activated. The design methodology is predicated upon the extension of the polynomial equations' approach to multirate-sampled configurations via the use of input-output models constituting sets of cyclically time-varying difference equations View full abstract»

• ### Recursive least determinant self-tuning regulator

Publication Year: 2000, Page(s):285 - 292
| | PDF (524 KB)

An algorithm for the self-tuning regulator of a Box-Jenkins model control system is suggested. The algorithm calculates the control action by minimising the determinant of a positive definite matrix formed by the values of the input and output variables. The algorithm will gradually reduce a sequence of these matrices to a singular matrix. Under this condition, the parameters of the regulator can ... View full abstract»

• ### Multi-objective genetic optimisation of GPC and SOFLC tuning parameters using a fuzzy-based ranking method

Publication Year: 2000, Page(s):344 - 354
Cited by:  Papers (4)
| | PDF (916 KB)

A multi-objective genetic algorithm is developed for optimising the tuning parameters relating to the generalised predictive control (GPC) and performance index table of the self-organising fuzzy logic (SOFLC) algorithms, using a multi-objective ranking method based on fuzzy logic theory. A comparative study with more traditional Pareto, average and minimum distance ranking methods shows that the ... View full abstract»

• ### Neural controllers for nonlinear state feedback L2-gain control

Publication Year: 2000, Page(s):239 - 246
Cited by:  Papers (3)
| | PDF (648 KB)

Design of an L2-gain disturbance rejection neural controller for nonlinear systems is presented. The control input is generated from a radial basis network, which is trained offline such that a computed partial derivative of the network output satisfies a Hamilton-Jacobi inequality. Once the network is successfully trained for a given manifold in the state space, the closed-loop system ... View full abstract»

• ### Resilient guaranteed cost control to tolerate actuator faults for discrete-time uncertain linear systems

Publication Year: 2000, Page(s):277 - 284
Cited by:  Papers (9)
| | PDF (484 KB)

Studies a discrete-time resilient guaranteed cost control (GCC) design that tolerates some forms of controller gain uncertainties that are closely related to the actuator fault. The systems under consideration are discrete-time uncertain linear systems with norm-bounded structured uncertainties in both the state and input matrices. The resilient GCC designs guarantee that the cost of the closed-lo... View full abstract»

• ### Neurofuzzy network model construction using Bezier-Bernstein polynomial functions

Publication Year: 2000, Page(s):337 - 343
Cited by:  Papers (1)
| | PDF (680 KB)

Neurofuzzy modelling systems combine fuzzy logic with quantitative artificial neural networks via a concept of fuzzification by using a fuzzy membership function usually based on B-splines and algebraic operators for inference, etc. The paper introduces a neurofuzzy model construction algorithm using Bezier-Bernstein polynomial functions as basis functions. The new network maintains most of the pr... View full abstract»

• ### Stability analysis of iterative optimal control algorithms modelled as linear unit memory repetitive processes

Publication Year: 2000, Page(s):229 - 238
Cited by:  Papers (6)
| | PDF (768 KB)

The theory of unit memory repetitive processes is used to investigate local convergence and stability properties of algorithms for the solution of discrete optimal control problems. In particular, the properties are addressed of a method for finding the correct solution of an optimal control problem where the model used for optimisation is different from reality. Limit profile and stability concep... View full abstract»

• ### Anti-windup schemes for uncertain nonlinear systems

Publication Year: 2000, Page(s):321 - 329
Cited by:  Papers (13)
| | PDF (576 KB)

Several processes are nonlinear and operate under input constraints. Their effective control requires model-based techniques whose performance is often affected by modelling uncertainties. The paper addresses the control of single-input single-output nonlinear systems with input constraints in the presence of modelling errors. A nonlinear internal model control based on input output linearisation ... View full abstract»

• ### Adaptive inverse control algorithm for shock testing

Publication Year: 2000, Page(s):267 - 276
Cited by:  Papers (6)
| | PDF (800 KB)

An adaptive inverse control algorithm is proposed for shock testing an arbitrary specimen using an electrodynamic actuator. The purpose is to ascertain whether the specimen can survive and continue to function under severe shock conditions. The main difficulty in shock control is that the specimen dynamics vary significantly and a control algorithm is required that adapts to the characteristics of... View full abstract»

• ### Decentralised control of multimachine power systems with guaranteed performance

Publication Year: 2000, Page(s):355 - 365
Cited by:  Papers (26)
| | PDF (648 KB)

Focuses on a robust decentralised excitation control of multimachine power systems. The authors are concerned with the design of a decentralised state feedback controller for the power system to enhance its transient stability and ensure a guaranteed level of performance when there exist variations of generator parameters due to changing load and/or network topology. It is shown that the power sys... View full abstract»

• ### Criterion for global exponential stabilisability of a class of nonlinear control systems via an integral manifold approach

Publication Year: 2000, Page(s):330 - 336
| | PDF (444 KB)

A simple necessary and sufficient criterion, without the so-called interconnection conditions', for the global exponential stabilisability of a general class of nonlinear singularly perturbed systems is proposed. A globally exponentially stabilising composite feedback control is also proposed such that the chosen design manifold becomes an exact integral manifold and the trajectories of the close... View full abstract»

• ### Neural adaptive tracking controller for robot manipulators with unknown dynamics

Publication Year: 2000, Page(s):366 - 370
Cited by:  Papers (5)
| | PDF (360 KB)

A neural network (NN)-based adaptive control law is proposed for the tracking control of an n-link robot manipulator with unknown dynamic nonlinearities. Basis-function-like networks are employed to approximate the plant nonlinearities, and the bound on the NN reconstruction error is assumed to be unknown. The proposed NN-based adaptive control approach integrates the NN approach and an adaptive i... View full abstract»

• ### Counterexamples for sufficient and necessary conditions of internal stability

Publication Year: 2000, Page(s):371 - 372
Cited by:  Papers (1)
| | PDF (100 KB)

The authors discuss sufficient and necessary conditions guaranteeing the internal stability of systems. Counterexamples are constructed, and it is shown that conditions given by some current literature are not sufficient. The rigorous version is then given View full abstract»

## Aims & Scope

Published from 1994-2006, IEE Proceedings - Control Theory and Applications contained significant and original contributions on control theory and its applications. It was devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods.

Full Aims & Scope