The scientist’s investigation covers issues in Control theory, Lyapunov function, Nonlinear system, Lyapunov equation and Lyapunov redesign. Linear system, Stability and Control system are the primary areas of interest in his Control theory study. His biological study spans a wide range of topics, including State, Nonlinear stability and Robust control.
His study in Small-gain theorem and Circle criterion falls under the purview of Nonlinear system. Within one scientific family, Yuan Wang focuses on topics pertaining to Generalization under Circle criterion, and may sometimes address concerns connected to Pure mathematics. His research on Lyapunov equation concerns the broader Lyapunov exponent.
Yuan Wang mainly focuses on Control theory, Nonlinear system, Lyapunov function, State and Applied mathematics. Many of his research projects under Control theory are closely connected to Work with Work, tying the diverse disciplines of science together. His work on Small-gain theorem, Circle criterion and Nonlinear control as part of general Nonlinear system research is frequently linked to Computer science and Context, bridging the gap between disciplines.
His Lyapunov equation study, which is part of a larger body of work in Lyapunov function, is frequently linked to Systems theory, bridging the gap between disciplines. While the research belongs to areas of Lyapunov equation, Yuan Wang spends his time largely on the problem of Lyapunov redesign, intersecting his research to questions surrounding Converse. He has included themes like Characterization and Nonlinear stability in his State study.
Yuan Wang focuses on Control theory, Nonlinear system, Work, Trajectory and State variable. Yuan Wang works mostly in the field of Control theory, limiting it down to topics relating to Function and, in certain cases, Zero, as a part of the same area of interest. His work on Lyapunov function and Lyapunov redesign as part of his general Nonlinear system study is frequently connected to Computer science and Context, thereby bridging the divide between different branches of science.
His Lyapunov function study integrates concerns from other disciplines, such as State and Sensitivity. His Lyapunov redesign study frequently intersects with other fields, such as Lyapunov equation. In his research on the topic of State variable, Razumikhin theorem is strongly related with Type.
Yuan Wang mostly deals with Control theory, Nonlinear system, Scale, Work and State variable. His study on Trajectory and Lyapunov exponent is often connected to Computer science, Property and Noise measurement as part of broader study in Control theory. His study in Trajectory is interdisciplinary in nature, drawing from both Razumikhin theorem, Type and Differential equation.
His study ties his expertise on Lyapunov function together with the subject of Lyapunov exponent. His Property research encompasses a variety of disciplines, including Circle criterion and Lyapunov krasovskii. Yuan Wang is interested in Control-Lyapunov function, which is a field of Lyapunov equation.
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On characterizations of the input-to-state stability property
Eduardo D. Sontag;Yuan Wang.
Systems & Control Letters (1995)
Input-to-state stability for discrete-time nonlinear systems
Zhong-Ping Jiang;Yuan Wang.
Automatica (2001)
A Smooth Converse Lyapunov Theorem for Robust Stability
Yuandan Lin;Eduardo D. Sontag;Yuan Wang.
Siam Journal on Control and Optimization (1996)
New characterizations of input-to-state stability
E.D. Sontag;Yuan Wang.
IEEE Transactions on Automatic Control (1996)
A characterization of integral input-to-state stability
D. Angeli;E.D. Sontag;Y. Wang.
IEEE Transactions on Automatic Control (2000)
A Lyapunov formulation of the nonlinear small-gain theorem for interconnected ISS systems
Zhong-Ping Jiang;Iven M. Y. Mareels;Yuan Wang.
Automatica (1996)
Stabilization of switched linear systems
Daizhan Cheng;Lei Guo;Yuandan Lin;Yuan Wang.
IEEE Transactions on Automatic Control (2005)
Output-to-state stability and detectability of nonlinear systems
Eduardo D. Sontag;Yuan Wang.
Systems & Control Letters (1997)
Stabilization in Spite of Matched Unmodeled Dynamics and an Equivalent Definition of Input-to-State Stability*
Laurent Praly;Yuan Wang.
Mathematics of Control, Signals, and Systems (1996)
Notions of input to output stability
Eduardo D. Sontag;Yuan Wang.
Systems & Control Letters (1999)
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Publications: 107
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