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Volume 136
Issue 1
IEE Proceedings D (Control Theory and Applications)
Volume 136, Issue 1, January 1989
Volumes & issues:
Volume 136, Issue 1
January 1989
Pole-assignment self-tuning control of blood pressure in postoperative patients: a simulation study
- Author(s): N.E. Mansour and D.A. Linkens
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 1 –11
- DOI: 10.1049/ip-d.1989.0001
- Type: Article
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Pole-placement self-tuning control applied to the management of hypertensive patients following surgery is considered via extensive simulation studies on a clinically evaluated model. This model has complexities involving a recirculation term and two threshold-switchable reflex loops due to angiotensin and epinephrine. In this work, further extensions have been made to include drug saturation effects, time-varying patient gains and drug concentration changes. Results are also shown for the self-tuner performance in the presence of coloured noise as obtained from clinical trials. Providing the poleplacement self tuner is jacketed during initial start-up and under sudden transitions, it is shown to perform adequately in simulations of this medical application.
Adaptive pole-placement control with filtered states and steady-state disturbance rejection
- Author(s): F.K. Omani
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 12 –16
- DOI: 10.1049/ip-d.1989.0002
- Type: Article
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The paper proposes an algorithm for adaptive pole-assignment control using filtered state estimates for state feedback, instead of the traditional one-step prediction states. This results in the perturbation of the closed-loop zeros, in such manner as to ensure a significant reduction in the closed-loop output variance after pole assignment. The estimation and control algorithms are also modified to eliminate steady-state offsets to nonstationary disturbances.
State-space self-tuning regulators for general multivariable stochastic systems
- Author(s): L.S. Shieh ; Y.L. Bao ; F.R. Chang
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 17 –27
- DOI: 10.1049/ip-d.1989.0003
- Type: Article
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The paper presents a state-space approach for the self-tuning control of general linear multivariable discrete-time stochastic systems with the number of inputs (controllability indices) equal to or different from the number of outputs (observability indices). The dynamic system is represented in the state-space innovation form with the Luenberger's canonical structure. The model parameters, as well as the Kalman gain, are identified via the least-squares ladder algorithm, without utilising the standard stateestimation algorithm. Also, to avoid the direct use of the Luenberger's canonical transformations, a long division method is introduced for quickly converting a reducible or irreducible left matrix fraction description (LMFD) to an irreducible right matrix fraction description (RMFD) and for constructing the Luenberger's transformation matrices. In conjunction with the state-space selftuning control, an integral control is used so as to eliminate the steady-state errors and render the closed-loop system less sensitive to modelling errors. The proposed method will enhance the application of the state-space self-tuning concepts to a general class of multivariable stochastic systems.
Error recovery points management for dynamically identified recoverable atomic actions
- Author(s): Krzysztof Zieliński
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 28 –34
- DOI: 10.1049/ip-d.1989.0004
- Type: Article
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The paper describes dynamically identified recoverable atomic actions carried out by backward-error-recovery technique. The important question associated with this approach is: ‘What information is necessary for error recovery?’ Using the backward-error-recovery technique, this problem may be solved by suitable recovery-point management. The paper presents the specification of a protocol for safe recoverypoint recognition, i.e. the points which will not be used for any recovery action in subsequent calculations.The specification is based on a formal description of the recovery process in a system of communicating processes.
Reduced-order observer with parameter adaption for fast rotor flux estimation in induction machines
- Author(s): R. Nilsen and M.P. Kaźmierkowski
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 35 –43
- DOI: 10.1049/ip-d.1989.0005
- Type: Article
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In the paper a new reduced-order observer with parameter adaption is presented. The observer is based on the ‘current’ model in field-oriented co-ordinates. The theoretical principles of the developed algorithm are discussed.Some results of comparative investigations are presented, which illustrate the steady-state and dynamic properties of the speed control system with observer and conventional current models.
Improved condition for the optimality off decentralised control for large-scale systems
- Author(s): N. Munro ; T.C. Yang ; A. Brameller
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 44 –46
- DOI: 10.1049/ip-d.1989.0006
- Type: Article
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For a linear constant large-scale system composed of interconnected subsystems, if a decentralised control law which minimises a quadratic cost function with respect to individual decoupled subsystems is used, this simple control strategy is shown to result in a globally optimal interconnected system, provided the condition given by M. Ikeda and D.D. Siljak, in a previous paper, is satisfied and the quadratic cost function is modified to include the additional terms arising from the subsystem interactions. An improved condition for the global optimality is given, which implies that, as long as a local eigenvalue condition given in the paper is satisfied for the decentralised local optimal control and the global detectability condition is satisfied, global optimality can also be ensured. It can be expected that, owing to this new simple condition, some of the difficulties in the application of decentralised optimal control approaches could be overcome.
Linear feedback approach to the stabilisation of uncertain discrete systems
- Author(s): A.A. Bahnasawi ; A.S. Al-Fuhaid ; M.S. Mahmoud
- Source: IEE Proceedings D (Control Theory and Applications), Volume 136, Issue 1, p. 47 –52
- DOI: 10.1049/ip-d.1989.0007
- Type: Article
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The paper presents a linear feedback approach to solve the stabilisation problem of linear discrete systems with additive-type bounded uncertainties. The approach is based on the linear quadratic (LQ) regulator theory and establishes that stable performance is guaranteed for the system but within a prescribed region of attraction. Both state-feedback and output-feedback schemes are developed to implement the proposed controller.
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