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EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 11 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
AUTOMATICA
2006
125views more  AUTOMATICA 2006»
13 years 7 months ago
Optimization over state feedback policies for robust control with constraints
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...
CP
2004
Springer
14 years 26 days ago
A Hybrid Method for Planning and Scheduling
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...
John N. Hooker
WSC
2000
13 years 8 months ago
Mathematical programming models of discrete event system dynamics
Analytical models for the dynamics of some discrete event systems are introduced where the system trajectories are solutions to linear and mixed-integer programs. 1 BACKGROUND The...
Lee Schruben
IFIP
2001
Springer
13 years 12 months ago
Functional Test Generation using Constraint Logic Programming
— Semi-formal verification based on symbolic simulation offers a good compromise between formal model checking and numerical simulation. The generation of functional test vector...
Zhihong Zeng, Maciej J. Ciesielski, Bruno Rouzeyre