Robust control of nonlinear systems with parametric uncertainty

Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system instability and violation of performance requirements subject to variations of the probabilistic system parameters. Stochastic robust control synthesis searches the controller design parameter space to minimize a cost that is a function of the probabilities that design criteria will not be satis

• Type: Journal
• Year: 2002
• Where: AUTOMATICA
• Authors: Qian Wang, Robert F. Stengel
• Keywords: AUTOMATICA 2002, Parameters, Probabilistic Robustness Analysis, Robust Control