Event-triggered sliding mode control for switched genetic regulatory networks with persistent dwell time

2022 ◽  
Vol 44 ◽  
pp. 101135
Author(s):  
Tingting Yu ◽  
Yue Zhao ◽  
Jiahui Wang ◽  
Jianxing Liu
Keyword(s):  
Sliding Mode Control ◽  
Dwell Time ◽  
Regulatory Networks ◽  
Sliding Mode ◽  
Genetic Regulatory Networks ◽  
Mode Control ◽  
Event Triggered

INTERVENTION IN BIOLOGICAL PHENOMENA REPRESENTED BY GENETIC REGULATORY NETWORKS: A VARIABLE STRUCTURE APPROACH

2012 ◽  
Vol 20 (04) ◽  
pp. 327-347
Author(s):  
MOHAMED AMINE FNAIECH ◽  
HAZEM N. NOUNOU ◽  
MOHAMED N. NOUNOU ◽  
ANIRUDDHA DATTA
Keyword(s):  
Control Theory ◽  
Sliding Mode Control ◽  
Regulatory Networks ◽  
Sliding Mode ◽  
Intervention Strategy ◽  
Variable Structure ◽  
Genetic Regulatory Networks ◽  
Parameter Uncertainties ◽  
Mode Control ◽  
Biological Phenomena

The utilization of mathematical tools in the analysis and synthesis of models representing biological phenomena is rapidly growing. Adding to these efforts, in this paper, a mathematical method based on the sliding mode control approach will be used for the purpose of developing a therapeutic intervention strategy for a class of biological phenomena. Such an intervention scheme aims at moving an undesirable state of a diseased network towards a more desirable state using drugs to act on some genes/metabolites that characterize the undesirable behavior. S-systems, which offer a good compromise between accuracy and mathematical flexibility, are a promising framework for modeling the dynamical behavior of biological phenomena as well as genetic regulatory networks. Since biological phenomena modeled by S-systems are complex nonlinear processes, the need for robust nonlinear intervention strategies that are capable of guiding the target variables to their desired values often arises. The main objective of this paper is to develop an intervention scheme based on sliding mode control theory, sometimes referred to as variable structure control theory, and evaluate the robustness of the sliding mode intervention scheme in the presence of model parameter uncertainties. The proposed intervention strategy is applied to a glycolytic-glycogenolytic pathway model and the simulation results demonstrate the effectiveness of the proposed scheme.

scholarly journals Event-triggered Discrete-time Sliding Mode Control for High-order Systems via Reduced-order Model Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 6207-6212
Author(s):  
Kiran Kumari ◽  
Bijnan Bandyopadhyay ◽  
Johann Reger ◽  
Abhisek K. Behera
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
High Order ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Mode Control ◽  
Event Triggered ◽  
Model Approach

Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method

2016 ◽  
Vol 24 (5) ◽  
pp. 1048-1057 ◽  
Author(s):  
Shiping Wen ◽  
Tingwen Huang ◽  
Xinghuo Yu ◽  
Michael Z. Q. Chen ◽  
Zhigang Zeng
Keyword(s):  
Sliding Mode Control ◽  
Fuzzy Systems ◽  
Sliding Mode ◽  
Communication Delays ◽  
Sampled Data ◽  
Mode Control ◽  
Event Triggered

Event-triggered-based adaptive sliding mode control for networked linear control systems

2022 ◽  
pp. 014233122110689
Author(s):  
Guiling Li ◽  
Chen Peng
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Linear Control Systems ◽  
Adaptive Sliding Mode Control ◽  
Reduced Order ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Mode Function ◽  
Sliding Mode Dynamics ◽  
Event Triggered

This paper investigates the robust stabilization of the adaptive sliding mode control for a class of linear systems subjected to external disturbance via event-triggered communication (ETC) scheme. First, in order to reduce the bandwidth utilization, a discrete ETC scheme is proposed and the networked sliding mode function is derived using the ETC scheme. Based on the derived sliding mode function, a reduced-order networked sliding mode dynamics with communication delay is established. Second, by constructing a Lyapunov–Krasovskii functional (LKF), asymptotic stability and stabilization criteria of the reduced-order sliding mode dynamics are given in the form of linear matrix inequalities. According to the stabilization result, a novel event-triggered-based adaptive sliding mode controller is designed while guaranteeing the reachability of the sliding surface. Finally, simulation results illustrate the effectiveness and merit of the developed method.

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