R
Runfan Zhang
Researcher at University of New South Wales
Publications - 31
Citations - 1039
Runfan Zhang is an academic researcher from University of New South Wales. The author has contributed to research in topics: Sliding mode control & Microgrid. The author has an hindex of 15, co-authored 29 publications receiving 848 citations. Previous affiliations of Runfan Zhang include Northwest A&F University.
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Control of a class of fractional-order chaotic systems via sliding mode
TL;DR: This paper investigates the chaos control of a class of fractional-order chaotic systems via sliding mode through the derived sliding mode control law, and guarantees asymptotical stability of the uncertain fractionsal- order chaotic systems in the presence of an external disturbance.
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Fractional order Lyapunov stability theorem and its applications in synchronization of complex dynamical networks
TL;DR: A novel T–S fuzzy model pining controller with minimum control nodes is designed and numerical simulations are agreement with theoretical analysis, which both confirm that the correctness of the presented theory is correct.
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Chaotic synchronization and anti-synchronization for a novel class of multiple chaotic systems via a sliding mode control scheme
TL;DR: In this article, a new sliding mode control strategy was proposed for a class of chaotic systems with different structure and dimensions by using proportional integral surface and saturation function to simplify the task of assigning the performance of the closed-loop error system in sliding motion.
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Distributed Finite-Time Multiagent Control for DC Microgrids With Time Delays
Runfan Zhang,Branislav Hredzak +1 more
TL;DR: A novel distributed multi-agent finite-time control strategy with time delays for the state of charge balancing and voltage restoration in a dc microgrid with distributed battery energy storage systems that is resilient to communication link failures and features plug-and-play capability.
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Synchronization between integer-order chaotic systems and a class of fractional-order chaotic systems via sliding mode control.
TL;DR: A new sliding mode method is proposed to accomplish this end for different initial conditions and number of dimensions, and the vector controller is one-dimensional less than the system.