Mathematics – Optimization and Control
Scientific paper
2011-12-26
Mathematics
Optimization and Control
A preliminary version of this paper appeared in the Proceedings of the 48th Annual IEEE Conference on Decision and Control [14
Scientific paper
In this paper, a stochastic asymptotic stabilization method is proposed for deterministic input-affine control systems, which are randomized by including Gaussian white noises in control inputs. The sufficient condition is derived for the diffucion coefficients so that there exist stochastic control Lyapunov functions for the systems. To illustrate the usefulness of the sufficient condition, the authors propose the stochastic continuous feedback law, which makes the origin of the Brockett integrator become globally asymptotically stable in probability.
Nishimura Yuki
Tanaka Kanya
Wakasa Yuji
Yamashita Yuh
No associations
LandOfFree
Stochastic Asymptotic Stabilizers for Deterministic Input-Affine Systems based on Stochastic Control Lyapunov Functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Stochastic Asymptotic Stabilizers for Deterministic Input-Affine Systems based on Stochastic Control Lyapunov Functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stochastic Asymptotic Stabilizers for Deterministic Input-Affine Systems based on Stochastic Control Lyapunov Functions will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-252443