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Your search keyword '"Lu, Guoping"' showing total 13 results
Start Over Author "Lu, Guoping" Journal asian journal of control
13 results on '"Lu, Guoping"'

2. Finite‐time reliable dissipative control of neutral‐type switched artificial neural networks with non‐linear fault inputs and randomly occurring uncertainties.

Author

Saravanakumar, Thangavel, Nirmala, Veerappan Jayakannu, Raja, Ramachandran, Cao, Jinde, and Lu, Guoping

Subjects
ARTIFICIAL neural networks, JENSEN'S inequality, BINOMIAL distribution, RANDOM variables, STABILITY theory, MATRIX inequalities, LINEAR matrix inequalities
Abstract

This work reports the result of finite‐time reliable dissipative control for switched neutral‐type based neural networks subject to input nonlinearities, time‐delay and randomly occurring perturbations. In particular, a novel control model consist of both linear and non‐linear fault inputs is designed for reliable control. In addition, randomly occurring uncertainty caused by stochastic variables satisfying the Bernoulli distribution is considered. Based on Lyapunov stability theory, Jensen's integral inequality technique and average dwell time method, sufficient criteria for finite‐time boundedness of resulting neural networks are obtained. Furthermore, the obtained boundedness theory are enhanced to solve the finite‐time dissipative problem of the considered systems through reliable control against mixed actuator failures. The obtained sufficient conditions are constructed in the form of linear matrix inequalities, which can be facilitated by using some standard numerical Matlab packages. At last, numerical simulations are presented to demonstrate the effectiveness of the considered theory. [ABSTRACT FROM AUTHOR]

Published
2020
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13. H∞ALMOST DISTURBANCE DECOUPLING FOR MIMO BILINEAR SYSTEMS

Author

Zheng, Yufan, Ho, Daniel W.C., and Lu, Guoping

Abstract

The H∞almost disturbance decoupling problem is considered. In this paper, a nonlinear design is proposed to find a state feedback controller for bilinear systems. The closed‐loop system is internally stable and achieves disturbance attenuation in nonlinear H∞sense. We defined a special form of Lyapunov function, which is constructed in terms of one or a set of positive definite constant matrices. If, except of the origin of system, the corresponding polynomial of the positive definite matrix (or several polynomials relevant to the positive definite constant matrices) has (have) no zero on a given subset of state space, then we can construct a controller to solve our problem. It is found that the controller structure could be complicated, but is feasible in computation and may require optimization technique to search the solution. We consider both SIMO and MIMO cases with illustrated examples.

Published
2000
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