Constrained control Lyapunov function based model predictive control design Journal Articles

abstract

• SUMMARYThis work considers linear systems with input constraints with the objective of designing a controller that guarantees stability from all initial conditions in the null‐controllable region (the set of initial conditions from where the system can be stabilized). To this end, a recently developed procedure for construction of constrained control Lyapunov functions is utilized within a Lyapunov‐based model predictive controller coupled with an auxiliary control design to achieve stabilization from all initial conditions in the null‐controllable region. Illustrative simulation results as well as an application to a nonlinear chemical process example is presented to demonstrate the efficacy of the results.Copyright © 2012 John Wiley & Sons, Ltd.

authors

• Mahmood, Maaz
• Mhaskar, Prashant

status

• published 

publication date

• January 25, 2014

has subject area

• 0102 Applied Mathematics (FoR)
• 0906 Electrical and Electronic Engineering (FoR)
• 0913 Mechanical Engineering (FoR)
• Industrial Engineering & Automation (Science Metrix)

published in

• International Journal of Robust and Nonlinear Control  Journal

keywords

• Automation & Control Systems
• Engineering
• Engineering, Electrical & Electronic
• LINEAR-SYSTEMS SUBJECT
• MPC
• Mathematics
• Mathematics, Applied
• NONLINEAR-SYSTEMS
• Physical Sciences
• REGIONS
• SATURATING ACTUATORS
• STABILIZATION
• Science & Technology
• Technology
• UNIVERSAL CONSTRUCTION
• constrained control Lyapunov functions
• linear systems
• model predictive control
• null-controllable region

Digital Object Identifier (DOI)

• 10.1002/rnc.2896

start page

• 374

end page

• 388

volume

• 24

issue

• 2