H
Hong Chen
Researcher at Tongji University
Publications - 795
Citations - 15862
Hong Chen is an academic researcher from Tongji University. The author has contributed to research in topics: Model predictive control & Control theory. The author has an hindex of 50, co-authored 726 publications receiving 11604 citations. Previous affiliations of Hong Chen include Shanxi Datong University & University of Stuttgart.
Papers
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Journal ArticleDOI
A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
Hong Chen,Frank Allgöwer +1 more
TL;DR: It is proved that feasibility of the open-loop optimal control problem at time t = 0 implies asymptotic stability of the closed-loop system.
Proceedings ArticleDOI
A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
Hong Chen,Frank Allgöwer +1 more
TL;DR: In this article, a nonlinear model predictive control scheme that guarantees closed-loop stability is presented, where the objective function consists of an integral square error (ISE) part over a finite time horizon plus a quadratic terminal cost and a terminal inequality constraint that forces the states at the end of the finite horizon to lie within a prescribed terminal region.
Journal ArticleDOI
Constrained H/sub /spl infin// control of active suspensions: an LMI approach
Hong Chen,Kong-Hui Guo +1 more
TL;DR: Analysis and simulation results for a two-degree-of-freedom (2-DOF) quarter-car model show possible improvements on ride comfort, while respecting time-domain hard constraints.
Journal ArticleDOI
Pilot-scale waste activated sludge alkaline fermentation, fermentation liquid separation, and application of fermentation liquid to improve biological nutrient removal.
TL;DR: It seems that the use of Ca(OH)(2) to control sludge fermentation at pH 10 for efficiently producing a carbon source for BNR is feasible.
Journal ArticleDOI
Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle
TL;DR: In this article, a 2-speed I-AMT with a rear-mounted dry clutch is proposed to improve the acceleration time, maximum speed and energy efficiency of electric vehicles.