His primary areas of investigation include Control theory, Model predictive control, Control engineering, Control theory and Nonlinear system. He has included themes like Optimization problem and Mathematical optimization in his Control theory study. His biological study spans a wide range of topics, including Terminal, Trajectory and Optimal control.
His studies in Control engineering integrate themes in fields like Vehicle dynamics and Robustness. His Control theory study incorporates themes from Field-programmable gate array and Gate array. The concepts of his Nonlinear system study are interwoven with issues in Slip and Bounded function.
Hong Chen mainly investigates Control theory, Model predictive control, Control theory, Nonlinear system and Optics. His Control theory study frequently draws connections to other fields, such as Control engineering. His work carried out in the field of Model predictive control brings together such families of science as Optimization problem, Mathematical optimization and Optimal control.
His study in Control theory is interdisciplinary in nature, drawing from both Actuator and Feed forward. His Optics study frequently draws connections between related disciplines such as Optoelectronics. His Torque study combines topics in areas such as Electric vehicle and Automotive engineering, Clutch.
His main research concerns Control theory, Control theory, Model predictive control, Torque and Nonlinear system. His Control theory research incorporates themes from Electric vehicle and Control. His Control theory research is multidisciplinary, incorporating perspectives in Control system, Servo, Feed forward, Powertrain and Acceleration.
The study incorporates disciplines such as Tracking, Automotive engineering, Fuel efficiency and Axle in addition to Model predictive control. Hong Chen interconnects Slip and Slip in the investigation of issues within Torque. His work in Nonlinear system is not limited to one particular discipline; it also encompasses Stability.
Hong Chen mainly focuses on Control theory, Control theory, Photonics, Torque and Optoelectronics. The various areas that Hong Chen examines in his Control theory study include Active safety, Ground vehicles and Model predictive control. As a part of the same scientific family, he mostly works in the field of Model predictive control, focusing on Energy consumption and, on occasion, Axle.
His Control theory study integrates concerns from other disciplines, such as Torque vectoring, Stability, Nonlinear system, Servo control and Robustness. The various areas that Hong Chen examines in his Torque study include Overshoot, Servo, Throttle, Electronic throttle control and Feed forward. His Metamaterial study in the realm of Optoelectronics connects with subjects such as Interface and Ranging.
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A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
H. Chen;F. ALLGöWER.
Omnidirectional gap and defect mode of one-dimensional photonic crystals containing negative-index materials
Haitao Jiang;Hong Chen;Hongqiang Li;Yewen Zhang.
Applied Physics Letters (2003)
Constrained H/sub /spl infin// control of active suspensions: an LMI approach
Hong Chen;Kong-Hui Guo.
IEEE Transactions on Control Systems and Technology (2005)
Challenges and solutions for biofiltration of hydrophobic volatile organic compounds.
Yan Cheng;Huijun He;Chunping Yang;Chunping Yang;Guangming Zeng.
Biotechnology Advances (2016)
Thermal entanglement in the two-qubit Heisenberg XY model under a nonuniform external magnetic field
Yang Sun;Yuguang Chen;Hong Chen.
Physical Review A (2003)
Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle
Bingzhao Gao;Qiong Liang;Yu Xiang;Lulu Guo.
Mechanical Systems and Signal Processing (2015)
A game theoretic approach to nonlinear robust receding horizon control of constrained systems
H. Chen;C.W. Scherer;F. Allgower.
american control conference (1997)
Nonlinear Model Predictive Control Schemes with Guaranteed Stability
H. Chen;F. Allgöwer.
Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems
Shuyou Yu;Shuyou Yu;Christoph Maier;Hong Chen;Frank Allgöwer.
Systems & Control Letters (2013)
MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution
Bingtao Ren;Hong Chen;Haiyan Zhao;Lei Yuan.
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