Huihui Ji

ORCID: 0000-0002-6511-9251
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About
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Research Areas
  • Stability and Control of Uncertain Systems
  • Neural Networks Stability and Synchronization
  • Stability and Controllability of Differential Equations
  • Distributed Control Multi-Agent Systems
  • Control Systems and Identification
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Nonlinear Dynamics and Pattern Formation
  • Differential Equations and Numerical Methods
  • Advanced Control Systems Optimization
  • Advanced Mathematical Modeling in Engineering
  • Fuzzy Logic and Control Systems
  • Gene Regulatory Network Analysis
  • Hydraulic and Pneumatic Systems
  • Adaptive Control of Nonlinear Systems
  • Advanced Memory and Neural Computing
  • Vibration Control and Rheological Fluids

Nanjing Audit University
2021

Jiangnan University
2017-2020

Chongqing University of Technology
2015-2016

A distributed consensus control method is developed in this paper for second-order nonlinear multiagent systems with external stochastic disturbances. By utilizing the graph theory, technique, and linear matrix inequality method, sufficient conditions are derived to guarantee convergence mean-square exponential strongly connected proximity networks directed spanning trees, respectively. Particularly, using such a methodology, detailed controller design procedure provided networked...

10.1109/tcns.2017.2736959 article EN IEEE Transactions on Control of Network Systems 2017-08-07

10.1016/j.cnsns.2021.105773 article EN Communications in Nonlinear Science and Numerical Simulation 2021-02-21

Containment control problems for high‐order linear Markov jump swarm systems with a dynamic output feedback under directed interaction topologies are investigated. A necessary and sufficient condition to guarantee containment is proposed. further presented ensure the scalability of criteria. Finally, numerical simulations show that system achieves condition.

10.1049/iet-cta.2016.1080 article EN IET Control Theory and Applications 2017-01-12

In this study, the authors are concerned with a finite‐dimensional guaranteed cost sampled‐data fuzzy control problem, which is addressed for class of non‐linear Markov jump parabolic partial differential equation (MJPPDE) systems. Applying Galerkin's method to MJPPDE system, ordinary (MJODE) system derived. The resulting MJODE can describe dominant dynamics subsequently expressed by Takagi–Sugeno (T–S) model. Then, controller developed stabilise closed‐loop slow exponentially in mean‐square...

10.1049/iet-cta.2017.1413 article EN IET Control Theory and Applications 2018-06-20

This paper investigates the design problem of collocated feedback controllers for a class semi-linear distributed parameter systems with mixed time delays. The spatially is divided by finite number intermittently local actuators and sensors. In order to deal exponential stability analysis, framework novel interval Lyapunov functional established. By utilising Schur complement linear matrix inequality (LMI) techniques, corresponding stabilisation condition then derived. Furthermore, robust H∞...

10.1080/00207721.2020.1737261 article EN International Journal of Systems Science 2020-03-11

Exponential robust consensus of stochastic multiagent systems is studied. Coupling structures are Markov jump switching; that is, contain parameters. Sufficient conditions almost surely exponential derived by utilizing the method and approach matrix inequality. Finally, two simulations shown to demonstrate validity achieved theoretical results.

10.1155/2015/363251 article EN cc-by Abstract and Applied Analysis 2015-01-01
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