Model predictive control(MPC)is an optimal control method that predicts the future states of the system being controlled and estimates the optimal control inputs that drive the predicted states to the required referen...
the National Natural Science Foundation of China(Nos.62173036,62003040,62122014);the Beijing Institute of Technology Research Fund Program for Young Scholars.
Considering that the inevitable disturbances and coupled constraints pose an ongoing challenge to distributed control algorithms,this paper proposes a distributed robust model predictive control(MPC)algorithm for a mu...
the National Natural Science Foundation of China(61773345);the Zhejiang Provincial Major Projects Foundation of China(2020C03056).
In this paper,we propose a model predictive control(MPC)strategy for accelerated offset-free tracking piece-wise constant reference signals of nonlinear systems subject to state and control constraints.Some special co...
This paper proposes a two-stage hierarchy control system with model predictive control(MPC)for connected parallel HEVs with available traffic information.In the first stage,a coordination of on-ramp merging problem us...
In this paper,a model predictive control(MPC)solution,assisted by extended state observer(ESO),is proposed for the common rail pressure control in gasoline engines.The rail pressure dynamic,nonlinear with large uncert...
In this paper, a complete industrial validation of a recently published scheme for on-line adaptation of the control updating period in model predictive control is proposed. The industrial process that serves in the v...
Automotive engine control has been continuously improved due to the strong demands from the society and the market since introducing electronic controls but not always following control theories. Therefore, it is not ...
This work was supported by the Republic of Singapore's National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) Program. BEARS has been established by the UniversiW of California, Berkeley as a center for intellectual excellence in research and education in Singapore. This work was also supported by the National Natural Science Foundation of China (Nos. 61573220, 61304045).
In this paper, a non-cooperative distributed MPC algorithm based on reduced order model is proposed to stabilize large-scale systems. The large-scale system consists of a group of interconnected subsystems. Each subsy...
Electromechanical actuators are widely used in many industrial applications. There are usually some constraints existing in a designed system. This paper proposes a simple method to design constrained controllers for ...
supported by the National Nature Science Foundation of China (Nos. 60825302, 61074061);the High Technology Research and Development Program of China (No. 2007AA041403);the Program of Shanghai Subject Chief Scientist;‘Shu Guang’ Project of Shanghai Municipal Education Commission;Shanghai Education Development Foundation
In this paper, the online correction model predictive control (MPC) strategy is presented for partial dif- ferential equation (PDE) unknown spatially-distributed systems (SDSs). The low-dimensional MIMO models a...