Constrained Generalized Predictive Control of Unstable Nonlinear Processes

A New Method Against Attacks on Networked Industrial Control Systems

“…Linear model predictive control involving input-output models in classical, adaptive or fuzzy forms is proved useful for controlling processes that exhibit even some degree of nonlinear behavior [5], [15], [16].…”

Model Predictive Control of Nonlinear Processes

“…But, the first component of U(t) is actually implemented and the whole procedure is repeated again at the next sampling instant using latest measured information. Linear model predictive control involving input-output models in classical, adaptive or fuzzy forms is proved useful for controlling processes that exhibit even some degree of nonlinear behavior (Eaton and Rawlings, 1992;Venkateswarlu and Gangiah, 1997 ;Venkateswarlu and Naidu, 2001). …”

“…The design and implementation of the CGPC strategy is studied by applying it for the control of a nonlinear open-loop unstable chemical reactor (Venkateswarlu and Gangiah, 1997).…”

“…Linear MPC is proved useful for controlling processes that exhibit even some degree of nonlinear behavior (Eaton and Rawlings, 1992;Venkateswarlu and Gangiah, 1997). However, the greater the mismatch between the actual process and the representative www.intechopen.com…”

Thermal management of an independent steam reformer for a solid oxide fuel cell with constrained generalized predictive control

“…The order of C(z À1 ) N i n t e r n a t i o n a l j o u r n a l o f h y d r o g e n e n e r g y 3 7 ( 2 0 1 2 ) 1 2 3 1 7 e1 2 3 3 1 constraints using a quadratic programming (QP) method [8,12,14]. Venkateswarlu [8] extended GPC to the control of open-loop unstable nonlinear processes while taking care of inputeoutput constraints with QP.…”