Adaptive Stabilization of Networked Control Systems Tolerant to Actuator Failures

Tahoun, A. H.; Fang, Huajing

doi:10.1109/itcs.2009.245

Cited by 7 publications

(5 citation statements)

References 16 publications

(5 reference statements)

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“…The modeling of the packet losses and delays between sensors and the actuators with f k packets dropout between sensors and controller and j k packets dropout between the controller and the actuators can be expressed as in [17], [19], [20] at time kh, as follows:…”

Section: Modeling Of the Packet Dropout And Delaymentioning

confidence: 99%

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Output-feedback MRAC of networked systems with network-induced delays and packet dropout

Tahoun

2011

The 2011 International Conference on Computer Engineering &Amp; Systems

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In this paper, an output-feedback model reference adaptive controller for networked control systems is developed.The problems of networked control systems such as; transmission delays and data-packets dropout induced by the insertion of data networks in the feedback adaptive control loops are considered.The novelty of the paper consists in the combination of different aspects in networked control systems; output-feedback model reference control of systems with unknown parameters, unknown network-induced delays, and unknown data-packets dropout.Sufficient conditions for Lyapunov stability criterion are derived in the case of uncertainty due to delays, and data-packets dropout.Simulation results are given to illustrate the effectiveness of our design approach.Recently, much attention has been paid to the study of stability analysis and control design of networked control systems. The primary advantages of an NCS are reduced system wiring, simpler of installation, ease of system diagnosis and maintenance, and lower costs. On the other hand, factors such as bandwidth constraints, network-induced delays, and packet dropout among many other peculiarities of networks often affect the performance of an NCS or even cause instability. From the literature, it is found that the research in NCSs involves two important aspects. From the perspective of control design, the stability and the performance ofNCSs is the main issue to be considered. From the perspective of communication and information theory, the service of the network such as scheduling strategy is also important when dealing with NCSs [1 ]-[ [4]. The design of controllers for NCSs has also been overlooked, as many researchers start with a controller that has been designed, ignoring the challenges introduced by NCSs and then investigating to what extent such controllers can guarantee stability in spite of the network. On the other hand, the results obtained for NCSs are still limited: most of the existing results in the literature assume that the plant is given and model parameters are completely available, while few papers address the analysis and synthesis problems for NCSs whose plant parameters are partially unknown. In fact, while controlling a real plant, the designer rarely knows 978-1-4577-0128-3/11/$26.00 ©2011 IEEE 91 its parameters accurately [25], [30]. In [15]-[23], we developed direct adaptive state feedback control schemes for NCSs. Some key issues in adaptive control of systems connected via a communication networks, such as sampling period, network-induced delays, data-packets dropout, error models, adaptive laws, and stability analysis, have been addressed for state feedback for state tracking. These approaches deal with the stabilization problem in which no external input exists. In [24], the first algorithm for model reference direct state feedback adaptive control algorithm for NCSs was developed in the presence of network-induced delays.However, when, as in many cases, the internal state variables of a system are not accessible, adaptive outpu...

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Section: Modeling Of the Packet Dropout And Delaymentioning

confidence: 99%

“…In [15]- [23], we developed direct adaptive state feedback control schemes for NCSs. Some key issues in adaptive control of systems connected via a communication networks, such as sampling period, network-induced delays, data-packets dropout, error models, adaptive laws, and stability analysis, have been addressed for state feedback for state tracking.…”

mentioning

confidence: 99%

Output-feedback MRAC of networked systems with network-induced delays and packet dropout

Tahoun

2011

The 2011 International Conference on Computer Engineering &Amp; Systems

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“…There have been several approaches for adaptive control of systems with actuator failures in different directions including designing fault-tolerant adaptive tracking controllers via state feedback for linear time invariant plants [26][27][28][29][30][31][32][33][34], actuator failure compensation output feedback for output tracking for linear time invariant plants [30,35,36], and state-feedback actuator failure compensation for networked control systems [37]. On the other hand, the compensation of actuator failures for nonlinear systems has been also investigated extensively (see [38] and the references therein).…”

Section: Introductionmentioning

confidence: 99%

Adaptive actuator failure compensation design for unknown chaotic multi-input systems

Tahoun

2014

Int. J. Adapt. Control Signal Process.

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In this paper, an adaptive control approach is designed for compensating the faults in the actuators of chaotic systems and maintaining the acceptable system stability. We propose a state-feedback model reference adaptive control scheme for unknown chaotic multi-input systems. Only the dimensions of the chaotic systems are required to be known. Based on Lyapunov stability theory, new adaptive control laws are synthesized to accommodate actuator failures and system nonlinearities. An illustrative example is studied. The simulation results show the effectiveness of the design method.

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“…All these results deal with completely known systems. The disturbance free case of adaptive control of networked systems with unknown plant parameters is first treated in [8,9] . Due to the disturbance, it is no longer possible in general to ensure that the plant states will tend to zero asymptotically with time.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control of Networked Systems in the Presence of Bounded Disturbances

Tahoun¹,

Hua-Jing²

2007

J. of Computer Science

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Abstract:The insertion of data network in the feedback adaptive control loops makes the analysis and design of networked control systems more complex than traditional control systems. This paper addresses the adaptive stabilization problem of linear time-invariant networked control systems when the measurements of the plant states are corrupted by bounded disturbances. The case of state feedback is treated in which only an upper bound on the norm of matrix A is needed. The problem is to find an upper bound on the transmission period h that guarantees the stability of the overall adaptive networked control system under an ideal transmission process, i.e. no transmission delay or packet dropout. Rigorous mathematical proofs are established, that relies heavily on Lyapunov's stability criterion and dead-zone Technique. Simulation results are given to illustrate the efficacy of our design approach.

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Adaptive Stabilization of Networked Control Systems Tolerant to Actuator Failures

Cited by 7 publications

References 16 publications

Output-feedback MRAC of networked systems with network-induced delays and packet dropout

Output-feedback MRAC of networked systems with network-induced delays and packet dropout

Adaptive actuator failure compensation design for unknown chaotic multi-input systems

Adaptive Control of Networked Systems in the Presence of Bounded Disturbances

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