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Volume 146
Issue 3
IEE Proceedings - Control Theory and Applications
Volume 146, Issue 3, May 1999
Volumes & issues:
Volume 146, Issue 3
May 1999
Editorial: Premium awards
- Author(s): Derek P.Atherton
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, page: 241 –241
- DOI: 10.1049/ip-cta:19990659
- Type: Article
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- Author(s): S. K. Park and H. K. Ahn
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 242 –246
- DOI: 10.1049/ip-cta:19990436
- Type: Article
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A novel sliding surface is proposed by defining a virtual state. This sliding surface has the nominal dynamics of an original system and makes it possible to use the sliding-mode control technique with various types of controller. Its design is based on an augmented system whose dynamics have a higher order than that of the original system. The reaching phase is eliminated by using an initial virtual state that makes the initial sliding function equal to zero. - Author(s): B. M. Patre ; B. Bandyopadhyay ; H. Werner
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 247 –252
- DOI: 10.1049/ip-cta:19990350
- Type: Article
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In the paper a method is proposed to design a periodic output feedback controller for a singularly perturbed discrete system. A state feedback controller designed from the singularly perturbed discrete system has been used to compute output injection gain. This output injection gain has been used to compute the periodic output feedback gain. The method does not require the states of the system for feedback. The method is illustrated by a practical example of a fifth order steam power system. - Author(s): C. H. Lin and K. W. Han
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 253 –258
- DOI: 10.1049/ip-cta:19990660
- Type: Article
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An extension of the stability-equation method for prediction of limit-cycles in nonlinear two-input two-output (TITO) control systems is presented. A system with two nonlinearities is considered first, then a system with four nonlinearities is analysed. The presented method is useful for preliminary analysis and design of automatic tuning of PID controllers for TITO processes with decentralised relay feedback. All the results are checked by computer simulations and comparisons with other methods in current literature are made. - Author(s): T. Todo ; K. Selvaratnam ; T. Mori ; Y. Kuroe
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 259 –264
- DOI: 10.1049/ip-cta:19990661
- Type: Article
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A graphical method is proposed for analysing hybrid feedback systems with PFM mechanisms. The system comprises a pulse frequency modulator (PFM) in the feedforward path and a linear constant plant in the feedback. The describing function approach is employed, applied not to the original system, but to an equivalent system. The approach takes into account two types of pulse, impulses and finite-height pulses, emitted from the modulator. Numerical examples show that the proposed method is practical in the sense that it can give an estimated stability condition, which is not excessively conservative, but still remains in the safety side. The fact that the finite-height pulses are taken into consideration as an approximation of the impulses gives another practicality to the approach. - Author(s): J. S. Shieh ; M. F. Abbod ; D. A. Linkens ; J. E. Peacock
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 265 –272
- DOI: 10.1049/ip-cta:19990125
- Type: Article
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The paper describes research into a novel hierarchical architecture for fuzzy logic monitoring and control of intravenous anaesthesia has two main objectives. The primary task is to utilise auditory evoked response signals for augmenting cardiovascular and body function signs into a multisensor fuzzy model-based fusion strategy for anaesthesia monitoring and control. The secondary task is to extend an existing fuzzy patient model for use as a training simulator via computer-based models. This demonstrates a totally fuzzy-logic-based architecture for manipulating complex procedures on a complex process (i.e. hospital patients). - Author(s): R. Vilanova and I. Serra
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 273 –281
- DOI: 10.1049/ip-cta:19990083
- Type: Article
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The design of a control system, that provides a model reference performance specification for the command response and, at the same time, achieves some prespecified feedback properties, is discussed. The use of a particular configuration of a two degree-of-freedom controller will allow the feedback and performance specifications to be tackled independently through the design of a feedback controller for the nominal plant and the model reference part by means of model matching in a min–max sense. A closed-form solution is provided for the optimal min–max controller. This closed-form solution will be very useful when using this controller in an adaptive way. The resulting adaptive controller will consist of a fixed feedback part and an adaptive open-loop part. Only one degree-of-freedom is adapted. An example will show that it is possible to match the model reference performance specification, even near the stability limit. - Author(s): C. Son
- Source: IEE Proceedings - Control Theory and Applications, Volume 146, Issue 3, p. 282 –288
- DOI: 10.1049/ip-cta:19990662
- Type: Article
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A process model for part assembly, using robotic manipulators, is introduced. Part-bringing, in an environment that contains obstacles, is accomplished by combining a neural network control strategy, co-ordinating with a fuzzy optimal process model to bring a part from an initial position to a destination (target) for the purpose of part insertion. Fuzzy set theory, well suited to the management of uncertainty, is introduced to address the uncertainty problem associated with the part-bringing procedure. The degree of uncertainty associated with the part-bringing is used as an optimality criterion, or cost function, e.g. minimum fuzzy entropy, for a specific task execution. The proposed technique is applicable not only to a wide range of robotic tasks including pick and place operations, but also to the control of unmanned aircraft or missiles.
Robust controller design with novel sliding surface
Periodic output feedback control for singularly perturbed discrete model of steam power system
Prediction of limit-cycles in nonlinear two-input two-output control systems
Analysis of hybrid feedback systems with PFM mechanisms
Hierarchical fuzzy-based support system for anaesthesia monitoring and control
Model reference control in two degree of freedom control systems: Adaptive min–max approach
Intelligent process model for robotic part assembly in a partially unstructured environment
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