Michael Basin mainly investigates Control theory, Linear system, Filtering problem, Control theory and Nonlinear system. His Control theory research is multidisciplinary, relying on both State, Polynomial and Applied mathematics. His Linear system research incorporates themes from Hybrid system, Robust control and Linear filter.
His Control theory study incorporates themes from Control system and Compensation. His Nonlinear system research includes elements of Fuzzy control system and Fuzzy logic. His Linear-quadratic-Gaussian control research incorporates elements of Variable structure control and Linear-quadratic regulator.
Michael Basin spends much of his time researching Control theory, Linear system, Polynomial, Filtering problem and Nonlinear system. The study of Control theory is intertwined with the study of State in a number of ways. His work focuses on many connections between Linear system and other disciplines, such as Integral sliding mode, that overlap with his field of interest in Robustification.
His work on Matrix polynomial, Degree of a polynomial, Stable polynomial and Wilkinson's polynomial as part of his general Polynomial study is frequently connected to Multiplicative noise, thereby bridging the divide between different branches of science. His work carried out in the field of Filtering problem brings together such families of science as State vector, System of linear equations and Applied mathematics. His studies deal with areas such as Discrete time and continuous time and Bounded function as well as Nonlinear system.
His primary areas of investigation include Control theory, Nonlinear system, Fixed time, Control theory and Algorithm. Michael Basin has included themes like Upper and lower bounds, State and Bounded function in his Control theory study. The study incorporates disciplines such as Extended Kalman filter, Discrete time and continuous time, Class, Applied mathematics and Polynomial in addition to Nonlinear system.
His biological study deals with issues like State vector, which deal with fields such as Linear-quadratic-Gaussian control and Optimal control. His study looks at the relationship between Control theory and topics such as Control system, which overlap with LTI system theory, Stability and Robustness. His Algorithm research also works with subjects such as
His scientific interests lie mostly in Control theory, Fixed time, Nonlinear system, Differentiator and Control system. His Control theory study combines topics in areas such as Mechatronics and Upper and lower bounds. He interconnects Control theory, Bounded function and Fuzzy logic in the investigation of issues within Nonlinear system.
In his study, Discrete time and continuous time, Linear system and Topology is strongly linked to Exponential stability, which falls under the umbrella field of Control theory. The various areas that Michael Basin examines in his Control system study include System model, Linear-quadratic regulator, Powertrain, Torque and Robustness. His research in Sliding mode control intersects with topics in Multivariable control systems, Multivariable calculus and Observer.
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Reliable Filtering With Strict Dissipativity for T-S Fuzzy Time-Delay Systems
Xiaojie Su;Peng Shi;Ligang Wu;Michael V. Basin.
IEEE Transactions on Systems, Man, and Cybernetics (2014)
Two-Dimensional Dissipative Control and Filtering for Roesser Model
Choon Ki Ahn;Peng Shi;Michael V. Basin.
IEEE Transactions on Automatic Control (2015)
Predictive Output Feedback Control for Networked Control Systems
Rongni Yang;Guo-Ping Liu;Peng Shi;Clive Thomas.
IEEE Transactions on Industrial Electronics (2014)
Quantized Control Design for Cognitive Radio Networks Modeled as Nonlinear Semi-Markovian Jump Systems
Fanbiao Li;Peng Shi;Ligang Wu;Michael V. Basin.
IEEE Transactions on Industrial Electronics (2015)
Optimal control for linear systems with multiple time delays in control input
M. Basin;J. Rodriguez-Gonzalez.
IEEE Transactions on Automatic Control (2006)
Sliding mode attitude tracking of rigid spacecraft with disturbances
Kunfeng Lu;Yuanqing Xia;Zheng Zhu;Michael V. Basin.
Journal of The Franklin Institute-engineering and Applied Mathematics (2012)
OPTIMAL LINEAR FILTERING FOR SYSTEMS WITH MULTIPLE STATE AND OBSERVATION DELAYS
Michael Basin;Edgar Sanchez;Rodolfo Martinez-Zu.
Deadbeat Dissipative FIR Filtering
Choon Ki Ahn;Peng Shi;Michael V. Basin.
IEEE Transactions on Circuits and Systems I-regular Papers (2016)
Observer-Based Composite Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Actuator Failures
Lijie Wang;Michael V. Basin;Hongyi Li;Renquan Lu.
IEEE Transactions on Fuzzy Systems (2018)
Integral sliding mode design for robust filtering and control of linear stochastic time-delay systems
Michael Basin;Jesus Rodriguez-Gonzalez;Leonid Fridman;Pedro Acosta.
International Journal of Robust and Nonlinear Control (2005)
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