Advanced Control Systems Optimization

연구주제 · Control and Systems Engineering

논문 (피인용 순)

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교수 2

이종민 · 홍무선

논문 29

Multirate moving horizon estimation combined with parameter subset sel · Two-stage dynamic real-time optimization framework using parameter-dep · Dynamic matrix control applied on propane-mixed refrigerant liquefacti · Experimental gradient estimation of multivariable systems with correla · Batch-Wise Nonlinear Model Predictive Control of a Gas Antisolvent Rec · Operational strategy of pre-cooling process of CO2 storage tank in CCS · Primal–dual differential dynamic programming: A model-based reinforcem · Ensemble learning based latent variable model predictive control for b · Iterative learning model predictive control for constrained multivaria · Move blocked model predictive control with guaranteed stability and im · Model-based reinforcement learning and predictive control for two-stag · Q-learning-based stochastic model predictive control for green ammonia · Probability density function-based stochastic nonlinear model predicti · Data-driven offset-free multilinear model predictive control using con · NARX modeling for real-time optimization of air and gas compression sy · Progress and Challenges in Control of Chemical Processes · Learning of model-plant mismatch map via neural network modeling and i · Enhancement of modifier adaptation scheme via feedforward decision mak · Design of switching multilinear model predictive control using gap met · Automatic control of simulated moving bed process with deep Q-network · Backstepping control integrated with Lyapunov-based model predictive c · Data-driven model predictive control design for offset-free tracking o · Model Predictive Control (MPC)-Based Supervisory Control and Design of · Online Synchronization in Latent Variable Model Predictive Control for · Integration of reinforcement learning and model predictive control to · Mechanistic modeling and parameter-adaptive nonlinear model predictive · Move blocked model predictive control with improved optimality using s · Multi-strategy control to extend the feasibility region for robust mod · Improved offset-free model predictive control utilizing learned model-

학문분야 1

Control and Systems Engineering