Dan Ye spends much of his time researching Control theory, Control theory, Actuator, Linear system and Adaptive control. When carried out as part of a general Control theory research project, his work on Linear matrix inequality and Nonlinear system is frequently linked to work in Basis, therefore connecting diverse disciplines of study. His studies in Linear matrix inequality integrate themes in fields like Time complexity, Control reconfiguration and Reliability.
His biological study deals with issues like Lyapunov function, which deal with fields such as Applied mathematics, Semidefinite programming and Explained sum of squares. In his work, Adaptive system is strongly intertwined with Exponential stability, which is a subfield of Linear system. His study looks at the relationship between Adaptive control and fields such as Lyapunov stability, as well as how they intersect with chemical problems.
The scientist’s investigation covers issues in Control theory, Control theory, Actuator, Linear system and Adaptive control. His study in Control theory is interdisciplinary in nature, drawing from both Control engineering and Fault tolerance. His research investigates the link between Control theory and topics such as Lyapunov function that cross with problems in Markov chain.
His Actuator study integrates concerns from other disciplines, such as Control reconfiguration and Reliability. His Linear system research is multidisciplinary, incorporating elements of Adaptive filter, Bounded function, Robust control and Applied mathematics. His work deals with themes such as Estimation theory and Stability theory, which intersect with Adaptive control.
His primary scientific interests are in Control theory, Multi-agent system, Denial-of-service attack, Nonlinear system and Control. His studies deal with areas such as Function and Fuzzy logic as well as Control theory. His research investigates the connection between Nonlinear system and topics such as Stability that intersect with issues in Directed graph.
His work in the fields of Control, such as Adaptive control, overlaps with other areas such as Work. As a part of the same scientific family, Dan Ye mostly works in the field of Lyapunov function, focusing on Integrator and, on occasion, Actuator. The study incorporates disciplines such as Synchronizing, Sign function and Exponential function in addition to Control theory.
Dan Ye focuses on Control theory, Denial-of-service attack, Control theory, Detector and Fault detection and isolation. His Control theory research includes themes of Scheduling, Frequency domain and Asynchronous communication. His work carried out in the field of Scheduling brings together such families of science as Automatic frequency control, Data transmission and Time–frequency analysis.
His Asynchronous communication study incorporates themes from Actuator, Interval, Fuzzy logic, Piecewise and Stability conditions. Dan Ye has researched Control theory in several fields, including Exponential stability and Cyber-physical system. The various areas that Dan Ye examines in his Computer network study include Control and Multi-agent system.
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.
Adaptive Fault-Tolerant Tracking Control Against Actuator Faults With Application to Flight Control
D. Ye;Guang-Hong Yang.
IEEE Transactions on Control Systems and Technology (2006)
Reliable $H_{\infty}$ Control of Linear Systems With Adaptive Mechanism
Guang-Hong Yang;Dan Ye.
IEEE Transactions on Automatic Control (2010)
Distributed Adaptive Event-Triggered Fault-Tolerant Consensus of Multiagent Systems With General Linear Dynamics
Dan Ye;Meng-Meng Chen;Hai-Jiao Yang.
IEEE Transactions on Systems, Man, and Cybernetics (2019)
Summation Detector for False Data-Injection Attack in Cyber-Physical Systems
Dan Ye;Tian-Yu Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2020)
A Separated Approach to Control of Markov Jump Nonlinear Systems With General Transition Probabilities
Mouquan Shen;Ju H. Park;Dan Ye.
IEEE Transactions on Systems, Man, and Cybernetics (2016)
Fault-Tolerant Controller Design for General Polynomial-Fuzzy-Model-Based Systems
Dan Ye;Na-Na Diao;Xin-Gang Zhao.
IEEE Transactions on Fuzzy Systems (2018)
Robust adaptive fault-tolerant control for linear systems with actuator failures and mismatched parameter uncertainties
Li-Bing Wu;Guang-Hong Yang;Dan Ye.
Iet Control Theory and Applications (2014)
Adaptive Reliable $H_\infty $ Static Output Feedback Control Against Markovian Jumping Sensor Failures
Ding Zhai;Liwei An;Dan Ye;Qingling Zhang.
IEEE Transactions on Neural Networks (2018)
Improved fuzzy control design for nonlinear Markovian-jump systems with incomplete transition descriptions
Mouquan Shen;Dan Ye.
Fuzzy Sets and Systems (2013)
Stochastic coding detection scheme in cyber-physical systems against replay attack
Dan Ye;Tian-Yu Zhang;Ge Guo.
Information Sciences (2019)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Northeastern University
Yeungnam University
University of Johannesburg
Sun Yat-sen University
Northeastern University
Chinese Academy of Sciences
Texas A&M University – Kingsville
Northeastern University
Bar-Ilan University
University of Strathclyde
Chongqing University
Centre national de la recherche scientifique, CNRS
Utrecht University
Stockholm University
Universidade de São Paulo
Osaka University
Kwansei Gakuin University
Stanford University
University of Utah
Goddard Space Flight Center
University of Oslo
Ludwig-Maximilians-Universität München
University of Padua
Lawrence Berkeley National Laboratory