Design of Model-Based Gain Scheduling Controllers for Nonlinear Systems

Gain scheduling dynamic linear controllers for a nonlinear plant

† Industrial Control Centre, Dept. of Electronics & Electrical Engineering, University of Strathclyde, 50 George St., GLASGOW G1 1QE, U.K. Tel. (0141) 552 4400, Fax: (0141) 548 4203, email: [email protected] Abstract Lawrence & Rugh (1995), Kaminer et al. (1995) propose that the realisation for a gain-scheduled controller should be chosen to satisfy a local linear equivalence condition. How...

investigating the feasibility of a proposed model for geometric design of deployable arch structures

deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...

Robust Control Design of Gain-scheduled Controllers for Nonlinear Processes

Design of Robust Gain-scheduled Mpc Controllers for Nonlinear Processes

A methodology is proposed for the analysis and design of a robust gainscheduled Model predictive Controllers (MPC) for nonlinear chemical processes. The stability and performance tests can be formulated as a finite set of linear matrix inequalities (LMI). A simulation study of a 2x2 system indicates that this approach can provide useful robust controllers, which guarantee closed-loop robust sta...

Gain-scheduling MPC of nonlinear systems

Predictive control of nonlinear systems is addressed by embedding the dynamics into an LPV system and by computing robust invariant sets. This mitigates the on-line computational burden by transferring most of the computations off-line. Benefits and conservatism of this approach are discussed in relation with the control of a critical mechanical system. keywords: Predictive control, constraints...