Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
81 tokens/sec
Gemini 2.5 Pro Premium
47 tokens/sec
GPT-5 Medium
22 tokens/sec
GPT-5 High Premium
20 tokens/sec
GPT-4o
88 tokens/sec
DeepSeek R1 via Azure Premium
79 tokens/sec
GPT OSS 120B via Groq Premium
459 tokens/sec
Kimi K2 via Groq Premium
192 tokens/sec
2000 character limit reached

Value Function in Maximum Hands-off Control (1412.7840v1)

Published 25 Dec 2014 in cs.SY and math.OC

Abstract: In this brief paper, we study the value function in maximum hands-off control. Maximum hands-off control, also known as sparse control, is the L0-optimal control among the admissible controls. Although the L0 measure is discontinuous and non- convex, we prove that the value function, or the minimum L0 norm of the control, is a continuous and strictly convex function of the initial state in the reachable set, under an assumption on the controlled plant model. This property is important, in particular, for discussing the sensitivity of the optimality against uncertainties in the initial state, and also for investigating the stability by using the value function as a Lyapunov function in model predictive control.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.