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» Computing Controllers for Nonlinear Hybrid Systems
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127
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IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 9 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
104
Voted
HYBRID
2007
Springer
15 years 8 months ago
Symbolic Analysis for GSMP Models with One Stateful Clock
We consider the problem of verifying reachability properties of stochastic real-time systems modeled as generalized semi-Markov processes (GSMPs). The standard simulation-based tec...
Mikhail Bernadsky, Rajeev Alur
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 7 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
150
Voted
RTSS
2006
IEEE
15 years 8 months ago
Design of Location Service for a Hybrid Network of Mobile Actors and Static Sensors
Location services are essential to many applications running on a hybrid of wirelessly-networked mobile actors and static sensors, such as surveillance systems and the Pursuer and...
Zhigang Chen, Min Gyu Cho, Kang G. Shin
142
Voted
ICML
2000
IEEE
16 years 3 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...