C
Ci Chen
Researcher at Guangdong University of Technology
Publications - 46
Citations - 1611
Ci Chen is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Adaptive control & Computer science. The author has an hindex of 17, co-authored 39 publications receiving 1000 citations. Previous affiliations of Ci Chen include Lund University & University of Texas at Arlington.
Papers
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Adaptive Consensus of Nonlinear Multi-Agent Systems With Non-Identical Partially Unknown Control Directions and Bounded Modelling Errors
TL;DR: This note proposes an adaptive method to relax such a requirement to allow non-identical control directions, under the condition that some control directions are known.
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Adaptive Neural Control for Dual-Arm Coordination of Humanoid Robot With Unknown Nonlinearities in Output Mechanism
TL;DR: This paper presents and investigates an adaptive neural control scheme, which takes the unknown output hysteresis and computational efficiency into account, and investigates its application in humanoid robot control.
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Saturated Nussbaum Function Based Approach for Robotic Systems With Unknown Actuator Dynamics
TL;DR: A new type of the saturated Nussbaum function is developed with the idea of time-elongation that guarantees that the state of the robotic system asymptotically converges to the desired trajectory.
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Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
TL;DR: A combination of off-policy learning and experience-replay is applied for output regulation tracking control of continuous-time linear systems with completely unknown dynamics to obviate limitations in current approaches for optimal tracking control design.
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Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults
Ci Chen,Ci Chen,Frank L. Lewis,Frank L. Lewis,Shengli Xie,Hamidreza Modares,Zhi Liu,Shan Zuo,Ali Davoudi +8 more
TL;DR: This paper proposes four resilient state feedback based leader–follower tracking protocols that guarantee bounded L2 gains of certain errors in terms of the L2 norms of fault signals and shows the duality between the adaptive compensation protocols and the H∞ control protocols.