2020 - IEEE Fellow For contributions to switched systems and dissipativity theory
His primary scientific interests are in Control theory, Nonlinear system, Lyapunov function, Exponential stability and Synchronization networks. Jun Zhao merges Control theory with Dwell time in his study. Many of his studies on Nonlinear system apply to Bounded function as well.
His research integrates issues of Exponential function, Adaptive control and Lyapunov krasovskii in his study of Lyapunov function. His Exponential stability research is multidisciplinary, incorporating perspectives in Integrator, Passivity and State. His studies deal with areas such as Topology, Topology, Lorenz system, Trajectory and Complex network as well as Synchronization networks.
Jun Zhao mostly deals with Control theory, Nonlinear system, Lyapunov function, Dwell time and Control theory. Control theory is often connected to Control engineering in his work. His biological study spans a wide range of topics, including Stability and Tracking.
In general Nonlinear system study, his work on Backstepping often relates to the realm of Cascade, thereby connecting several areas of interest. Jun Zhao works mostly in the field of Lyapunov function, limiting it down to topics relating to Robust control and, in certain cases, Variable structure control and Sliding mode control. His Exponential stability study combines topics in areas such as Control system, Full state feedback, Hybrid system and Stability theory.
His scientific interests lie mostly in Control theory, Nonlinear system, Lyapunov function, Dwell time and Control theory. In his research, Control engineering is intimately related to Control, which falls under the overarching field of Control theory. When carried out as part of a general Nonlinear system research project, his work on Backstepping is frequently linked to work in Class, therefore connecting diverse disciplines of study.
His study on Lyapunov function also encompasses disciplines like
His main research concerns Control theory, Lyapunov function, Nonlinear system, Dwell time and Adaptive control. Control engineering is closely connected to Control in his research, which is encompassed under the umbrella topic of Control theory. His work in Lyapunov function addresses issues such as Actuator, which are connected to fields such as Domain.
His work on Backstepping as part of general Nonlinear system research is frequently linked to Mathematical model and Transition function, bridging the gap between disciplines. The study incorporates disciplines such as Closed loop, Tracking model, Parameterized complexity, Reference model and Integrator in addition to Adaptive control. His Linear system research is multidisciplinary, incorporating elements of Control system and Stability conditions.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Stability and L2-gain analysis for switched delay systems: A delay-dependent method
Xi-Ming Sun;Jun Zhao;David J. Hill.
Automatica (2006)
On stability, L2-gain and H∞ control for switched systems
Jun Zhao;David J. Hill.
Automatica (2008)
Brief paper: Backstepping design for global stabilization of switched nonlinear systems in lower triangular form under arbitrary switchings
Ruicheng Ma;Jun Zhao.
Automatica (2010)
Dissipativity Theory for Switched Systems
Jun Zhao;D.J. Hill.
IEEE Transactions on Automatic Control (2008)
Quadratic stability of a class of switched nonlinear systems
Jun Zhao;G.M. Dimirovski.
IEEE Transactions on Automatic Control (2004)
Hybrid control for global stabilization of the cart-pendulum system
Jun Zhao;Mark. W. Spong.
Automatica (2001)
Stability Analysis for Linear Switched Systems With Time-Varying Delay
Xi-Ming Sun;Wei Wang;Guo-Ping Liu;Jun Zhao.
systems man and cybernetics (2008)
Synchronization of complex dynamical networks with switching topology: A switched system point of view
Jun Zhao;David J. Hill;Tao Liu.
Automatica (2009)
Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems
Ben Niu;Ben Niu;Jun Zhao.
Systems & Control Letters (2013)
Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults
Qikun Shen;Bin Jiang;Peng Shi;Jun Zhao.
IEEE Transactions on Fuzzy Systems (2014)
Profile was last updated on December 6th, 2021.
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