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Your search keyword '"Li, Jian-Ning"' showing total 2 results
Start Over Author "Li, Jian-Ning" Topic actuators Publisher elsevier b.v.
2 results on '"Li, Jian-Ning"'

1. Failure-distribution-dependent H∞ fuzzy fault-tolerant control for multiple-degree-of-freedom nonlinear bilateral teleoperation system.

Author

Li, Jian-Ning, Wang, Ai-Min, Miao, Kun-Zhong, and Li, Lin-Sheng

Subjects
*REMOTE control, *CLOSED loop systems, *FAULT-tolerant computing, *NONLINEAR systems, *FUZZY systems, *ALGORITHMS, *ACTUATORS
Abstract

In this paper, a novel failure-distribution-dependent H ∞ fuzzy fault-tolerant control algorithm is proposed for a type of multiple-degree-of-freedom (MDOF) nonlinear bilateral teleoperation systems with partial actuator failures and time-varying communication delays. At first, the nonlinear systems are modeled as T-S fuzzy systems with multiple time-varying delays. The upper bound and lower bound of the transmission delays are incorporated in the stability analysis. When actuator failures exist in both master and slave robot, based on the characteristic of failures and delays, H ∞ fuzzy fault-tolerant controllers are designed by using free-weight matrix approach. After this, a sufficient condition is provided to ensure the mean square stable of the closed-loop system with a disturbance attenuation level γ. Finally, numerical examples are provided to show the effectiveness of the proposed methods. [ABSTRACT FROM AUTHOR]

Published
2020
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2. Exponential synchronization of discrete-time mixed delay neural networks with actuator constraints and stochastic missing data.

Author

Li, Jian-Ning, Bao, Wen-Dong, Li, Shi-Bao, Wen, Cheng-Lin, and Li, Lin-Sheng

Subjects
*DISCRETE-time systems, *ARTIFICIAL neural networks, *ACTUATORS, *MISSING data (Statistics), *SYNCHRONIZATION
Abstract

This paper investigates the problem of exponential synchronization of discrete-time neural networks with mixed time delays, actuator saturation and failures. Meanwhile, the unreliable communication links are considered between the neural networks, and such unreliable links are modeled as stochastic missing data satisfying Bernoulli distributions. In order to show the relationships between actuator constraints, unreliable communication link and mixed delay neural networks, by using Lyapunov functional approach, a missing data probability dependent exponential synchronization criterion is given. Then, based on such criterion, a reliable controller is designed to ensure that the neural networks are exponentially synchronized in the mean square. Finally, a numerical example is provided to illustrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]

Published
2016
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