Online ISSN
1751-8652
Print ISSN
1751-8644
IET Control Theory & Applications
Volume 2, Issue 2, February 2008
Volumes & issues:
Volume 2, Issue 2
February 2008
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- Author(s): G.-H. Yang and D. Ye
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 95 –107
- DOI: 10.1049/iet-cta:20060508
- Type: Article
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p.
95
–107
(13)
A fault-tolerant control scheme via dynamic output feedback for continuous-time linear systems against sensor failures, which is based on the combination of adaptive method and linear matrix inequality (LMI) approach is proposed. On the basis of the online estimations of sensor failures, the controller parameters are updated automatically to compensate the sensor fault effects on systems. Meanwhile, asymptotic stability and ℒ2-gain for the resultant closed-loop systems are guaranteed in normal case as well as in the sensor failure cases in the framework of LMIs. A numerical example is also given to illustrate the design procedure and its effectiveness. - Author(s): J. Xiang ; Y. Li ; W. Wei
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 108 –116
- DOI: 10.1049/iet-cta:20070142
- Type: Article
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p.
108
–116
(9)
The model error compensation method has been extended to stabilise a class of single-input single-output non-affine systems under two simple inequalities conditions. This extension is based on the careful design of the saturation function of control input which plays a key role in determining the local exponential stability and the attraction region. Two examples are presented to demonstrate the efficacy of the proposed method. - Author(s): N. Wang ; W. Xu ; F. Chen
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 117 –125
- DOI: 10.1049/iet-cta:20070132
- Type: Article
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p.
117
–125
(9)
The output feedback stabilisation of some parameter-perturbed non-minimum phase nonlinear systems is considered. For such systems, it is shown that a robust global asymptotic stability can always be achieved via dynamic output feedback, if a global adaptive observer can be constructed and if the system can be rendered minimum phase with respect to a virtual output, which is a linear combination of state variables. This result generalises some existing approaches in the literature. A simulation example illustrates the effectiveness of the proposed method. - Author(s): X.-M. Sun ; J. Zhao ; W. Wang
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 126 –132
- DOI: 10.1049/iet-cta:20070100
- Type: Article
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p.
126
–132
(7)
The problem of controller design for a class of linear discrete delay systems subject to controller failures is studied. The discrete switched delay systems are used to describe the considered systems. Then, based on the average dwell-time scheme, under the condition that the activation time ratio between the system without controller failures and the system with controller failures is not less than a specified constant, the state feedback controller is developed in terms of linear matrix inequalities such that the resulting closed-loop system is exponentially stable. At last, a numerical example is given to illustrate the effectiveness of the proposed method. - Author(s): M. Ghanes ; J. De Leon ; A. Glumineau
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 133 –150
- DOI: 10.1049/iet-cta:20070058
- Type: Article
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p.
133
–150
(18)
Cascade and high-gain observers based on interconnected form to estimate the mechanical and magnetic states of sensorless induction motor drives are considered. Furthermore, a flux and speed sliding-mode controller is proposed and combined with the observers to achieve the tracking of rotor flux and mechanical speed for induction motor without the need of flux, speed and load torque measurements. On the basis of the Lyapunov theory, the stability analysis of the proposed observers, the controller and the closed-loop ‘observer+controller’ are given. The observers, combined with the controller in closed loop, are compared in terms of their speed-tracking capability and their sensitivity to parameter variations on reference trajectories of a sensorless induction motor control benchmark, particularly when the induction motor state is unobservable. This benchmark is applied on an experimental set-up located at IRCCyN (Nantes, France). - Author(s): F.-J. Lin ; P.-H. Chou ; Y.-S. Kung
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 151 –167
- DOI: 10.1049/iet-cta:20070108
- Type: Article
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p.
151
–167
(17)
A robust fuzzy neural network controller with nonlinear disturbance observer (RFNNCNDO) is proposed for the precision control of a two-axis motion control system. The adopted two-axis motion control system is composed of two permanent magnet linear synchronous motors (PMLSMs). The single-axis motion dynamics with the introduction of a lumped disturbance, which includes parameter variations, external disturbances, cross-coupled interference between the two PMLSMs and fiction force, is derived. Then, a nonlinear disturbance observer is applied to estimate the lumped disturbance and a feedback linearisation controller is adopted to stabilise the control system. However, the system responses are degraded by the existed observer error. To improve the control performance in the tracking of the reference contours, a Sugeno-type adaptive fuzzy neural network (SAFNN) is employed in the proposed RFNNCNDO to estimate the observer error directly. The online learning algorithms of the SAFNN guarantee the stability of closed-loop systems on the basis of the Lyapunov theorem. Moreover, the proposed control algorithms are implemented in a TMS320C32 digital signal processor (DSP)-based control computer. From the simulated and experimental results, the contour tracking performance of the two-axis motion control system is significantly improved and the robustness can be obtained as well using the proposed RFNNCNDO control system. - Author(s): D.Y. Chao
- Source: IET Control Theory & Applications, Volume 2, Issue 2, p. 168 –179
- DOI: 10.1049/iet-cta:20070130
- Type: Article
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p.
168
–179
(12)
Computation of elementary siphons proposed by Li et al. is essential for deadlock control and expensive since complete siphon enumeration of the Petri net is needed, and the number of strict minimal siphons (SMS) grows quickly and exponentially with the size of the net. They assumed that the siphon constructed from each resource circuit is an elementary one and proposed a polynomial algorithm to compute elementary siphons. However, the author demonstrates a counter example where there may be an exponential number of resource circuits. Hence, constructing elementary siphons from resource circuits will result in an exponential number of elementary siphons, which is wrong. The author then develops a polynomial algorithm to find elementary siphons, which also constructs all SMS on the way. This is because, in the method proposed by Li et al., a linear algebraic expression must be established for each dependent siphon, which implies, all SMS must be located. However, all elementary siphons with polynomial complexity can be located.
Adaptive fault-tolerant H∞ control against sensor failures
Stabilisation of a class of non-affine systems via modelling error compensation
Adaptive global output feedback stabilisation of some non-minimum phase nonlinear uncertain systems
State feedback control for discrete delay systems with controller failures based on average dwell-time method
Cascade and high-gain observers comparison for sensorless closed-loop induction motor control
Robust fuzzy neural network controller with nonlinear disturbance observer for two-axis motion control system
Incremental approach to computation of elementary siphons for arbitrary simple sequential processes with resources
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