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ISCAS
2006
IEEE
186views Hardware» more  ISCAS 2006»
14 years 8 days ago
Adaptive sliding mode control using simple adaptive control for SISO nonlinear systems
—Sliding mode control (SMC) has a strong capability of controlling nonlinear systems with uncertainties. However, it requires thorough knowledge of parameters and dynamics of the...
Muhammad Yasser, Agus Trisanto, Jianming Lu, Hiroo...
HYBRID
2007
Springer
14 years 12 days ago
Model Checking Genetic Regulatory Networks with Parameter Uncertainty
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
Grégory Batt, Calin Belta, Ron Weiss
AIPS
2007
13 years 8 months ago
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
ATAL
2009
Springer
14 years 25 days ago
Evaluating hybrid constraint tightening for scheduling agents
Hybrid Scheduling Problems (HSPs) combine temporal and finite-domain variables via hybrid constraints that dictate that specific bounds on temporal constraints rely on assignments...
James C. Boerkoel Jr., Edmund H. Durfee
ECAI
2008
Springer
13 years 8 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...