Peer-Reviewed Journal Details
Mandatory Fields
Gregorcic, G; Lightbody, G;
2010
January
Computers & Chemical Engineering
Nonlinear model-based control of highly nonlinear processes
Published
()
Optional Fields
Adaptive control Multiple-model control Local model networks Local controller networks ADAPTIVE-CONTROL MULTIPLE MODELS SYSTEM IDENTIFICATION GAUSSIAN-PROCESSES NETWORKS DESIGN
34
1268
1281

This paper examines some of the deficiencies of the pole-placement self-tuning controller, particularly for the control of nonlinear processes. A comparison is made with switched multiple-model control and a local controller network, based on the local model network. The difference between the realisations of the local networks is also examined. All these approaches are applied for the control of the continuous stirred tank reactor. (C) 2010 Elsevier Ltd. All rights reserved.

DOI 10.1016/j.compchemeng.2010.03.011
Grant Details