Jinde Cao

About

Jinde Cao is a leading figure in nonlinear control systems, specializing in sliding-mode control (SMC), fuzzy-model-based fault-tolerant control, and the stability analysis of semi-Markov jump systems. His major contributions include developing robust control strategies for complex nonlinear systems subject to time delays, actuator faults, and communication constraints. Cao’s work on fault-tolerant fuzzy control for semi-Markov jump systems (109 citations) and adaptive neural output-feedback control for fractional-order systems (85 citations) has been widely influential. He has also advanced finite-time SMC and predefined-time consensus algorithms for multi-agent systems, with applications ranging from spherical robots to Euler-Lagrange networks. His research, often integrating Takagi-Sugeno fuzzy models with reinforcement learning, addresses real-world challenges in networked and autonomous systems. With over 500 citations across his top papers, Cao’s impact is evident in both theoretical rigor and practical implementation. His notable achievements include pioneering non-fragile control methods and distributed observers for noisy communication environments, making him a key reference for students and researchers in advanced control theory.

Research Focus

Key Achievements

Top Papers

1. 1
   Fault-Tolerant Fuzzy Control for Semi-Markov Jump Nonlinear Systems Subject to Incomplete SMK and Actuator Failures

   109 citations · 2020
2. 2
   Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities

   85 citations · 2018
3. 3
   Fuzzy-Model-Based Output Feedback Reliable Control for Network-Based Semi-Markov Jump Nonlinear Systems Subject to Redundant Channels

   81 citations · 2020
4. 4
   SMC for semi-Markov jump T-S fuzzy systems with time delay

   53 citations · 2020
5. 5
   Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg"><mml:msub><mml:mi mathvariant="script">H</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> SMC for Markovian jump systems in a finite-time

   47 citations · 2021
6. 6
   Input–Output Finite-Time Sliding-Mode Control for T–S Fuzzy Systems With Application

   44 citations · 2019
7. 7
   Predefined-Time Bipartite Consensus of Networked Euler-Lagrange Systems via Sliding-Mode Control

   32 citations · 2022
8. 8
   Nonfragile Output Feedback Tracking Control for Markov Jump Fuzzy Systems Based on Integral Reinforcement Learning Scheme

   32 citations · 2022
9. 9
   Observer‐Based Sliding Mode Control for Path Tracking of a Spherical Robot

   23 citations · 2018
10. 10
    Prescribed-time distributed observer based practical predefined-time leader-follower output consensus of second-order multiagent system with communication noises

    20 citations · 2023

Key Collaborators

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