supported by the National Key Research and Development Program of China (2017YFB0601805)。
Efficient control of the desulphurization system is challenging in maximizing the economic objective while reducing the SO_(2) emission concentration. The conventional optimization method is generally based on a hiera...
Supported by the National Natural Science Foundation of China (61174114, 60574047), the National High Technology Re-search and Development Program of China (2007AA04Z168) and the Research Fund for the Doctoral Program of Higher Education of China (20120101130016).
A multi-loop constrained model predictive control scheme based on autoregressive exogenous-partial least squares(ARX-PLS) framework is proposed to tackle the high dimension, coupled and constraints problems in industr...
Supported by the Research Grants of the Research Council of Malaya
A two-phase dynamic model, describing gas phase propylene polymerization in a fluidized bed reactor, was used to explore the dynamic behavior and process control of the polypropylene production rate and reactor temper...
Supported by the National High Technology Research and Development Program of China(2004AA412050)
A finite horizon predictive control algorithm, which applies a saturated feedback control law as its local control law, is presented for nonlinear systems with time-delay subject to input constraints. In the algorithm...
the State Key Development Program for Basic Research of China(2002CB312200);the National High Technology Research and Development Program of China(2007AA04Z193)
An adaptive state feedback predictive control (SFPC) scheme and an expert control scheme are presented and applied to the temperature control of a 1200 kt·a^-1 delayed coking furnace, which is the key equipment for...
the National Natural Science Foundation of China (No.60374037, No.60574036);the Program for New CenturyExcellent Talents in Education Ministry (NCET);the Specialized Research Fund for the Doctoral Program of Higher Edu-cation of China (No.20050055013)
A novel method of incorporating generalized predictive control GPC algorithms based on quantitative feedback theory QFT principles is proposed for solving the feedback control problem of the highly uncertain and cross...
Supported by the National Natural Science Foundation of China (No.60374037, No.60574036), the Program for New Century Excellent Talents in Education Ministry (NCET), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20050055013).
A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and c...
Supported by the National Natural Science Foundation of China (Nos.60474051, 60534020), the Key Technology and Devel-opment Program of Shanghai Science and Technology Department (No.04DZ11008), and the Program for New Century Ex-cellent Talents in the University of China (NCET).
A statistic-based benchmark was proposed for performance assessment and monitoring of model predic- tive control; the benchmark was straightforward and achievable by recording a set of output data only when the contro...
Supported by the National Natural Science Foundation of China (No.60374037, No.60574036), the Program for New Century Excellent Talents in University of China (NCET), and the Specialized Research Fund for the Doctoral Program of Higher Edu-cation of China (No.20050055013).
A constrained decoupling (generalized predictive control) GPC algorithm is proposed for MIMO (malti-input multi-output) system. This algorithm takes account of all constraints of inputs and their increments. By solvin...
In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic (MLD) modeling mechanism for hybrid system is analyzed, which has a distingu...