Lyapunov-Based Model Predictive Control of Nonlinear Systems Subject to Data Losses

• Published in: IEEE transactions on automatic control Vol. 53; no. 9; pp. 2076 - 2089
• Main Authors: Munoz de la Pena, D., Christofides, P.D.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Control system synthesis; Control systems; Control theory. Systems; Data integrity; Data loss; Design optimization; Dynamical systems; Exact sciences and technology; Fault-tolerant control systems; Invariants; Mathematical models; Networked control systems; networked control systems (NCS); Nonlinear control systems; Nonlinear dynamics; Nonlinear systems; Open loop systems; Optimization; Performance analysis; Predictive control; predictive control for nonlinear systems; Predictive models; process control applications; Process control. Computer integrated manufacturing; Sampling methods; Software; Studies; Asynchronous; process control applications; Non linear control; Lyapunov method; Control synthesis; Stability region; Invariant set; Hybrid system; Model predictive control; Chemical reactor; Sampling; Fault tolerant system; Predictive control; Mathematical programming; Process control; Distributed system; Equilibrium point; Closed feedback; Fault-tolerant control systems; Model reference adaptive control systems; Open loop; Distributed control; predictive control for nonlinear systems; Wireless network; networked control systems (NCS); Lyapunov function; Asynchronous transmission

In this work, we focus on model predictive control of nonlinear systems subject to data losses. The motivation for considering this problem is provided by wireless networked control systems and control of nonlinear systems under asynchronous measurement sampling. In order to regulate the state of th...