Fuzzy-Model-Based Quantized Guaranteed Cost Control of Nonlinear Networked Systems

Observer-based adaptive neural control for a class of nonlinear pure-feedback systems

“…Future research will extend this approach to nonlinear delayed systems. In addition, we also want to apply the developed theoretical results to some real-world systems such as multirate networked industrial systems [55], nonlinear network systems [56], and other piratical engineering systems.…”

Dynamic output feedback H∞ control for switched T–S fuzzy systems via discretized Lyapunov function technique

“…Proof by contradiction: Assume that B is non-positive. Considering (12), B is non-singular and all the eigenvalues of B are nonzero. Then there exists an orthogonal matrix T such that …”

“…For the convenience in dealing with the nonlinear systems, numerous control problems have been studied based on this T-S fuzzy model. For example, state feedback control design problems are studied in [10], designing static output feedback controllers and dynamic output feedback controllers are given in [11] and guaranteed cost control design methods are presented in [12]. Besides, to reduce the robust design conservatism, a kind of switched controllers is proposed for the fuzzy systems [14,13,15].…”

H∞ Tracking Control of Fuzzy Dynamic Output for Nonlinear Networked System with Packet Dropouts

“…Furthermore, the aforementioned methods for linear networked control systems cannot be used more directly. In the light of nonlinear characteristics, a few classes of advanced techniques containing sliding mode control [21], adaptive control [22,23], and fuzzy control [24,25] were applied. The tracking control of network control system involves some nonlinear factors, such as bandwidth constraints, packet dropouts, and network delays.…”