A proposal of ubiquitous fuzzy computing for Ambient Intelligence
Information Sciences: an International Journal
Brief paper: Decentralized adaptive controller design of large-scale uncertain robotic systems
Automatica (Journal of IFAC)
LMI static output-feedback design of fuzzy power system stabilizers
Expert Systems with Applications: An International Journal
IEEE Transactions on Fuzzy Systems
Agent-based architecture for designing hybrid control systems
Information Sciences: an International Journal
New delay-dependent stability criteria for T--S fuzzy systems with time-varying delay
Fuzzy Sets and Systems
Sequential stability analysis and observer design for distributed TS fuzzy systems
Fuzzy Sets and Systems
Brief Decentralized sliding mode control design using overlapping decompositions
Automatica (Journal of IFAC)
| Hi-index | 0.01 |
This paper discusses decentralized parallel distributed compensator design for Takagi-Sugeno fuzzy systems. The fuzzy system is viewed as an interconnection of subsystems some of which are strongly connected, while others being weakly connected. The necessary theory is developed so that one can associate this fuzzy system with another one in a higher dimensional space, the so-called expanded space, design decentralized parallel distributed compensators in the expanded space, then contract the solution for implementation on the original fuzzy system. In this respect, connective stability of the open loop and closed loop of the interconnected system is analyzed via the concepts of vector Lyapunov functions and M-matrices. Different Lyapunov functions generate different results for the discrete-time fuzzy system, quadratic Lyapunov generating the superior of the two. Following a similar approach, stabilization of the closed-loop fuzzy system using local parallel distributed compensators is investigated