Multirate Distributed Model Predictive Control
In Chap. 6, a multirate distributed model predictive control design for large-scale nonlinear uncertain systems with fast and slowly sampled states is developed. The distributed model predictive controllers are connected through a shared communication network and cooperate in an iterative fashion at time instants in which both fast and slowly sampled measurements are available, to guarantee closed-loop stability. When only local subsystem fast sampled state information is available, the distributed controllers operate in a decentralized fashion to improve closed-loop performance. In the design of the distributed controllers, bounded measurement noise, process disturbances and communication noise are also taken into account. Using a reactor–separator process example, the stability property and performance of the multirate distributed predictive control architecture is illustrated.
KeywordsTime Instant Measurement Noise Lyapunov Function Versus Iterative Fashion Liquid Holdup
- 31.Heidarinejad, M., Liu, J., Muñoz de la Peña, D., Christofides, P. D., & Davis, J. F. (2011, submitted). Multirate Lyapunov-based distributed model predictive control of nonlinear uncertain systems. Automatica. Google Scholar