Qiongbin Lin

Non-fragile dissipative fuzzy control for nonlinear discrete-time systems via T-S model

The problem of the non-fragile dissipative control for the nonlinear discrete systems is dealt with. The T-S models is constructed for nonlinear systems, which makes the model approach to the original system more exact. The sufficient conditions for the existence of a dynamic output feedback fuzzy controller such that, for all admissible multiplicative controller gain variations, the closed-loop system is asymptotically stable and the dissipative performance is guaranteed, are derived in the sense of Lyapunov asymptotic stability and are formulated in the format of matrix inequalities. The sequentially linear programming matrix method (SLPMM) is applied to solve the matrix inequalities. Numerical example is provided to demonstrate the feasibility of the proposed conditions and the procedure of the controllers design.

l 2 -l ∞ output feedback control for a class of networked system with random delay

This paper investigates the problem of output feedback l2-l∞ control for networked system with random delays. The sensor-to-controller and controller-to-actuator delays are simultaneously considered due to limited bandwidth communication. The random delays are described by a binary switching sequence satisfying a Bernoulli distribution. The purpose is the design of a dynamic output feedback controller which ensures the exponentially mean-square stability of the closed-loop system and guarantees an l2-l∞ norm bound constraint on disturbance attenuation. Via matrix inequalities a sufficient condition for solvability of this problem is presented. The sequentially linear programming method (SLPMM) is applied to solve the matrix inequalities. A numerical example is provided to demonstrate the validity of the proposed design approach.

Control Strategy Design of Grid-Connected and Stand-Alone Single-Phase Inverter for Distributed Generation

Dual-mode photovoltaic power system should be capable of operating in grid-connected (GC) and stand-alone (SA) modes for distributed generation. Under different working modes, the optimal parameters of inverter output filters vary. Inverters commonly operate in GC mode, and thus, a small capacitance is beneficial to the GC topology for achieving a reasonable compromise. A predictive current control scheme is proposed to control the grid current in GC mode and thereby obtain high-performance power. As filter are not optimal under SA mode, a compound control strategy consisting of predictive current control, instantaneous voltage control, and repetitive control is proposed to achieve low total harmonic distortion and improve the output voltage spectrum. The seamless transfer between GC mode and SA mode is illustrated in detail. Finally, the simulation and experimental results of a 4 ㎸A prototype demonstrate the effectiveness of the proposed control strategy.

Dissipative fuzzy controller for networked nonlinear system with missing data

This paper is concerned with dissipative control for networked nonlinear system with missing data. The T-S discrete fuzzy model is adopted for modeling the nonlinear system. Missing measurement from the sensor to the controller and missing data from the controller to the actuator are simultaneously considered. The missing measurement and missing control are described as the random missing data by a binary switching sequence satisfying a Bernoulli distribution. Sufficient conditions for existence of a dynamic output feedback fuzzy controller, such that the closed-loop system is exponentially mean-square stable and strictly dissipative, are derived in terms of linear matrix inequalities (LMIs). The effectiveness of the proposed method is illustrated by means of a numerical example.

Dissipative control for networked nonlinear system with random delay

This paper focuses on problem of quadratic dissipative control for networked nonlinear system with random delay. The T-S discrete fuzzy model system is adopted for modeling the nonlinear system. The dynamic output feedback controller is to be designed. Random delays from the sensor to the controller and from the controller to the actuator are simultaneously considered. And the random delays are described by a binary switching sequence satisfying a Bernoulli distribution. Sufficient conditions for existence of a dynamic output feedback fuzzy controller, such that the closed-loop system is exponentially mean-square stable and strict quadratic dissipative, is present via matrix inequality method. The iterative algorithm is provided to solve the matrix inequalities by using SLPMM (sequentially linear programming matrix method). Finally, a numerical example is given to show the validity and feasibility of the proposed approach.

Mixed H 2 /H ∞ control for networked control system with missing data

In the framework of multi-objective control, this paper presents a mixed H2/Hinfin dynamic output feedback control strategy to the network remote control system with measurement data missing and control data missing. Via matrix inequality method, the sufficient for existence of the dynamic output feedback controller, guaranteeing the closed-loop system has H2 and Hinfin performance simultaneously, is given. A novel arithmetic is put forward to optimize the controller performance via SLPMM (sequentially linear programming matrix method). A numerical example is presented to demonstrate the feasibility of the proposed design approach.