Fault-Tolerant Optimized Control of Switched Complex Networks via an Adaptive Dynamic Programming Approach
Mouquan Shen, Chen Wang, Qing-Guo Wang, Guangdeng Zong, Tingwen Huang
Abstract
The paper addresses the fault-tolerant optimized control of switched complex networks with unknown state and actuator fault. A proportional-integral intermediate observer is constructed to estimate unknown elements by relaxing known boundary requirement. An optimized controller is proposed to achieve fault-tolerant synchronization via adaptive dynamic programming scheme. A critic neural network is employed to solve the value of the Hamilton–Jacobi–Bellman equation. Sufficient conditions are established to ensure the uniformly ultimately bounded synchronization performance. Finally, an example is simulated to deliver the effectiveness of the proposed approach.
Topics & Concepts
Computer scienceFault toleranceDynamic programmingAdaptive controlControl (management)Control engineeringControl theory (sociology)EngineeringDistributed computingAlgorithmArtificial intelligenceAdaptive Dynamic Programming ControlNeural Networks Stability and SynchronizationDistributed Control Multi-Agent Systems