Multimodel analysis and controller design for nonlinear processes

Multilinear Model Control of Hammerstein-like Systems Based on an Included Angle Dividing Method and the MLD-MPC Strategy

“…However, how to get those candidate models is not addressed explicitly. Tan et al 18 extend the method in Galán et al. 17 to integrate the procedure of selecting operating points and local controller design.…”

An integrated state space partition and optimal control method of multi-model for nonlinear systems based on hybrid systems

“…For instance, [9] uses gap metric to analyze the relationships among candidate models to get a reduced model bank. [13] extends the method in [9] to integrate the procedure of selecting operating points and local controller design. Along with the concept of gap metric, [15] presents a gap metric-based method which aims to perform the operating range decomposition and the minimum linear model bank determination of a nonlinear system.…”

“…This has triggered the development of multilinear model approaches to tackle nonlinear systems problems. Multilinear model approaches turn out to be an ideal candidate for dealing with strong nonlinear chemical processes with wide operating ranges and large set-point changes, and has attracted much attention and been studied extensively in the past years (see [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] and the references therein).…”

Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor

“…In addition, multiple-linear model based approaches for controller design [2][3][4][5] have attracted the process control community. A plethora of multiple-model adaptive control schemes have been proposed in the control literature [6][7][8][9]. Gao et al [10] has proposed a nonlinear PID controller for CSTR using local model networks.…”