Bounded Stability in Networked Systems with Parameter Mismatch and Adaptive Decentralized Estimation
arXiv:1511.056103 citationsh-index: 34
Originality Synthesis-oriented
AI Analysis
Provides theoretical stability guarantees for networked systems with parameter mismatch, relevant for control theory applications.
The paper derives an upper bound on synchronization error for networked mismatched systems using Lyapunov analysis and validates the results on Lorenz oscillators.
Here, we study the ultimately bounded stability of network of mismatched systems using Lyapunov direct method. The upper bound on the error of oscillators from the center of the neighborhood is derived. Then the performance of an adaptive compensation via decentralized control is analyzed. Finally, the analytical results for a network of globally connected Lorenz oscillators are verified.