2008 - Fellow of the International Federation of Automatic Control (IFAC)
Tianyou Chai spends much of his time researching Control theory, Control engineering, Control theory, Nonlinear system and Adaptive control. Many of his studies on Control theory apply to Artificial neural network as well. Tianyou Chai interconnects Control system, Decoupling, Ball mill and Fuzzy logic in the investigation of issues within Control engineering.
His Control theory research includes elements of Process control, Model predictive control and Control-Lyapunov function. His Nonlinear system study incorporates themes from Stability, Multiplicative function, Inverse problem and Inverse function. His study in Adaptive control is interdisciplinary in nature, drawing from both Fuzzy control system, Lyapunov redesign, Mathematical optimization, Integrator and Adaptive system.
His primary areas of study are Control theory, Nonlinear system, Control engineering, Artificial neural network and Control theory. In his research, Setpoint is intimately related to Process control, which falls under the overarching field of Control theory. In his research on the topic of Nonlinear system, Robustness is strongly related with Mathematical optimization.
His work in Control engineering tackles topics such as Intelligent control which are related to areas like Process engineering. Artificial neural network is a subfield of Artificial intelligence that Tianyou Chai investigates. The Adaptive control study combines topics in areas such as Linear system, Multivariable calculus, Robust control, Adaptive neuro fuzzy inference system and Adaptive system.
His scientific interests lie mostly in Control theory, Artificial neural network, Mathematical optimization, Nonlinear system and Algorithm. His study in Actuator, Control theory, Control system, Tracking error and Lyapunov function are all subfields of Control theory. Tianyou Chai focuses mostly in the field of Artificial neural network, narrowing it down to topics relating to Optimal control and, in certain cases, Discrete time and continuous time, Process control, Reinforcement learning and Q-learning.
His Mathematical optimization research focuses on Control and how it connects with Singular perturbation. His research integrates issues of Identification, PID controller, Dynamic programming and Bellman equation in his study of Nonlinear system. His research in Algorithm tackles topics such as Data modeling which are related to areas like Multivariate random variable, Model predictive control and Least squares.
Tianyou Chai mainly focuses on Control theory, Mathematical optimization, Optimization problem, Nonlinear system and Artificial neural network. His Control theory study deals with Process control intersecting with Setpoint. His Multi-objective optimization study in the realm of Mathematical optimization connects with subjects such as Symmetric matrix.
His biological study spans a wide range of topics, including Local search, Global optimization and Reinforcement learning. His Nonlinear system research incorporates elements of Data mining, Identification, Partial derivative and Taylor series. His study in Artificial neural network is interdisciplinary in nature, drawing from both Prediction interval, Training set, Stochastic process, Bayesian probability and Hyperparameter.
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Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics
Liangyong Wang;Tianyou Chai;Lianfei Zhai.
IEEE Transactions on Industrial Electronics (2009)
Global finite-time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers
Jun Fu;Ruicheng Ma;Tianyou Chai.
Light Field Image Processing: An Overview
Gaochang Wu;Belen Masia;Adrian Jarabo;Yuchen Zhang.
IEEE Journal of Selected Topics in Signal Processing (2017)
Guaranteed Cost Networked Control for T–S Fuzzy Systems With Time Delays
Huaguang Zhang;Dedong Yang;T. Chai.
systems man and cybernetics (2007)
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares
Yingwei Zhang;Hong Zhou;S.J. Qin;Tianyou Chai.
IEEE Transactions on Industrial Informatics (2010)
Nonlinear Disturbance Observer-Based Control Design for a Robotic Exoskeleton Incorporating Fuzzy Approximation
Zhijun Li;Chun-Yi Su;Liangyong Wang;Ziting Chen.
IEEE Transactions on Industrial Electronics (2015)
Passivity and Passification for Networked Control Systems
Huijun Gao;Tongwen Chen;Tianyou Chai.
Siam Journal on Control and Optimization (2007)
Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
Weinan Gao;Yu Jiang;Zhong-Ping Jiang;Tianyou Chai.
Generalized Multitasking for Evolutionary Optimization of Expensive Problems
Jinliang Ding;Cuie Yang;Yaochu Jin;Tianyou Chai.
IEEE Transactions on Evolutionary Computation (2019)
Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process
Ping Zhou;Tianyou Chai;Hong Wang.
IEEE Transactions on Automation Science and Engineering (2009)
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