Tuning of fault tolerant control design parameters

DeLima, Pedro; Yen, Gary G.

doi:10.1016/j.isatra.2007.09.002

Cited by 4 publications

(3 citation statements)

References 13 publications

(12 reference statements)

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“…In this paper, this problem will be investigated via adaptive dynamic programming (ADP) algorithm. During recent years, some researchers have tried to solve FTC problem for discrete nonlinear systems via ADP algorithm [27,28], where the authors proposed the FTC schemes by combining globalized dual heuristic programming with dynamic model bank. To our knowledge, there is no result on addressing FTC problem via ADP algorithm for unknown continuous nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Approximate guaranteed cost fault-tolerant control of unknown nonlinear systems with time-varying actuator faults

Xie

Yang

2015

Nonlinear Dyn

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In this paper, the guaranteed cost faulttolerant control problem for unknown multi-input continuous nonlinear systems with loss of actuator effectiveness faults is investigated using the adaptive dynamic programming algorithm. Initially, by modifying the cost function to account for actuator faults, the problem is transformed into an optimal control problem of the nominal system. Subsequently, by using an existing policy iteration (PI) algorithm to solve the corresponding optimal control problem, a guaranteed cost controller is constructed approximately. Furthermore, a rigorous proof is given to show the convergence of the aforementioned PI algorithm while taking the neural network approximation errors into consideration. Finally, simulation examples are provided to show the effectiveness of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Approximate guaranteed cost fault-tolerant control of unknown nonlinear systems with time-varying actuator faults

Xie

Yang

2015

Nonlinear Dyn

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“…In [25][26][27], based on parity space theory, several data-driven FTC schemes were proposed for discrete-time linear systems. In [28,29], by combining globalized dual heuristic programming with dynamic model bank, two FTC schemes were developed for unknown discrete-time systems. Nevertheless, because of the difference between discrete-time and continuous-time systems, these methods [25][26][27][28][29] cannot be extended to the case of continuous-time systems.…”

mentioning

confidence: 99%

“…In [28,29], by combining globalized dual heuristic programming with dynamic model bank, two FTC schemes were developed for unknown discrete-time systems. Nevertheless, because of the difference between discrete-time and continuous-time systems, these methods [25][26][27][28][29] cannot be extended to the case of continuous-time systems. Most recently, in our preliminary work [30], a new data-based fault-tolerant controller was proposed for uncertain continuous-time linear systems with actuator faults, where the state constraint requirements were not taken into consideration.…”

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confidence: 99%

Model‐free fault‐tolerant control approach for uncertain state‐constrained linear systems with actuator faults

Xie

Yang

2016

Adaptive Control & Signal

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This paper investigates the robust adaptive fault-tolerant control problem for state-constrained continuoustime linear systems with parameter uncertainties, external disturbances, and actuator faults including stuck, outage, and loss of effectiveness. It is assumed that the knowledge of the system matrices, as well as the upper bounds of the disturbances and faults, is unknown. By incorporating a barrier-function like term into the Lyapunov function design, a novel model-free fault-tolerant control scheme is proposed in a parameterdependent form, and the state constraint requirements are guaranteed. The time-varying parameters are adjusted online based on an adaptive method to prevent the states from violating the constraints and compensate automatically the uncertainties, disturbances, and actuator faults. The time-invariant parameters solved by using data-based policy iteration algorithm are introduced for helping to stabilize the system. Furthermore, it is shown that the states converge asymptotically to zero without transgression of the constraints and all signals in the resulting closed-loop system are uniformly bounded. Finally, two simulation examples are provided to show the effectiveness of the proposed approach.

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Partial and total actuator faults accommodation for input-affine nonlinear process plants

2013

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Tuning of fault tolerant control design parameters

Cited by 4 publications

References 13 publications

Approximate guaranteed cost fault-tolerant control of unknown nonlinear systems with time-varying actuator faults

Approximate guaranteed cost fault-tolerant control of unknown nonlinear systems with time-varying actuator faults

Model‐free fault‐tolerant control approach for uncertain state‐constrained linear systems with actuator faults

Partial and total actuator faults accommodation for input-affine nonlinear process plants

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