Guodong You, Hailong Zhang, Xingyun Li, Jinyuan Wu, Lu Liu
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Indirect Filtering Control for Interconnected Time-Delay Systems With Deferred Constraints and Multiple Faults
In this paper, an indirect filtering fault-tolerant control method is proposed for interconnected time-delay systems with multiple sensor and actuator faults. As is well known, directly utilizing the state information obtained from sensors with faults to constrain the actual state poses great challenges. This article utilizes conservative sensor fault loss information to indirectly apply time-varying asymmetric constraints to the actual state while ensuring compliance with fault state constraints. In addition, the conservatism requirement of the initial state is reduced by utilizing carefully constructed delay constraint functions. To solve the problem of “explosion of complexity,” the derivative of the output signal of the filter is used to replace the derivative of the virtual control rate. The Nussbaum function can effectively alleviate the impact of multiple actuator failures and unknown control directions on the system. The effectiveness of the proposed control strategy is verified through simulation examples.
期刊介绍:
The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material.
Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include:
Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers
Nonlinear, Robust and Intelligent Adaptive Controllers
Linear and Nonlinear Multivariable System Identification and Estimation
Identification of Linear Parameter Varying, Distributed and Hybrid Systems
Multiple Model Adaptive Control
Adaptive Signal processing Theory and Algorithms
Adaptation in Multi-Agent Systems
Condition Monitoring Systems
Fault Detection and Isolation Methods
Fault Detection and Isolation Methods
Fault-Tolerant Control (system supervision and diagnosis)
Learning Systems and Adaptive Modelling
Real Time Algorithms for Adaptive Signal Processing and Control
Adaptive Signal Processing and Control Applications
Adaptive Cloud Architectures and Networking
Adaptive Mechanisms for Internet of Things
Adaptive Sliding Mode Control.