Backstepping Controller Design for Nonlinear Stochastic Systems Under a Risk-Sensitive Cost Criterion

Authors:
Zigang Pan;Tamer Basar
Affiliations:
-;-
Venue:
SIAM Journal on Control and Optimization
Year:
1999

Citing 0
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Abstract

This paper develops a methodology for recursive construction of optimal and near-optimal controllers for strict-feedback stochastic nonlinear systems under a risk-sensitive cost function criterion. The design procedure follows the integrator backstepping methodology, and the controllers obtained guarantee any desired achievable level of long-term average cost for a given risk-sensitivity parameter $\theta$. Furthermore, they lead to closed-loop system trajectories that are bounded in probability, and in some cases asymptotically stable in the large. These results also generalize to nonlinear systems with strongly stabilizable zero dynamics. A numerical example included in the paper illustrates the analytical results.