Robust digital control of fuzzy systems with parametric uncertainties: LMI-based digital redesign approach

Robust observer-based fuzzy control for variable speed wind power system: LMI approach

“…for some 0. ε < Now, we propose the following LMI results for the asymptotic stability of (7) and (9). The fuzzy control gain K i and observer gain L i can be solved by the following LMIs.…”

Sampled-Data Observer-Based Decentralized Fuzzy Control for Nonlinear Large-Scale Systems

“…However, in the case of nonlinear systems, the exact discretization is not possible, and so, to overcome this problem, various nonlinear sampled-data control techniques have been proposed, such as the Euler approximation [8,9] and the conversion to an input delay controller [10,11]. Sampled-data fuzzy control techniques, which are combination of the sampled-data control technique and the T-S fuzzy model, have also been proposed in many studies [16][17][18][19][20][21][22][23][24][25][26][27] and are categorized into the input delay conversion approach and the direct discrete-time design approach.…”

“…However, there are few studies about observer-based control or decentralized control in the input delay conversion approach. The direct discrete-time design approach [20][21][22][23][24][25][26][27] is to guarantee stability using the discretized model of the continuous-time plant. In [20][21][22], various sampled-data fuzzy control techniques using the direct discrete-time design approach have been proposed, such as the observer-based outputfeedback scheme [20] and the robust control [21].…”

Intelligent Digital Redesign for Nonlinear Interconnected Systems using Decentralized Fuzzy Control

“…However, these papers dealt with the local state-matching without concerning the global one. The global approaches of the IDR problem were presented in [15][16][17], but they did not consider the interconnection of the nonlinear systems. The decentralized digital controllers for the interconnected systems were proposed in [18][19][20].…”