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DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 2 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
HYBRID
2004
Springer
14 years 27 days ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
13 years 8 months ago
On stochastic receding horizon control with bounded control inputs
This paper is concerned with the problem of receding horizon control of discrete-time systems subject to possibly unbounded random noise inputs, while satisfying hard bounds on the...
Peter Hokayem, Debasish Chatterjee, John Lygeros
VALUETOOLS
2006
ACM
162views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
Using UML state machines and petri nets for the quantitative investigation of ETCS
This paper proposes the modeling of technical systems and their behavior by means of Unified Modeling Language (UML) State Machines and the extending UML Profile for Schedulabil...
Jan Trowitzsch, Armin Zimmermann
HYBRID
2005
Springer
14 years 1 months ago
Adjoint-Based Optimal Control of the Expected Exit Time for Stochastic Hybrid Systems
Abstract. In this paper, we study the problem of controlling the expected exit time from a region for a class of stochastic hybrid systems. That is, we find the least costly feedb...
Robin L. Raffard, Jianghai Hu, Claire Tomlin