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CDC
2009
IEEE
128views Control Systems» more  CDC 2009»
15 years 9 months ago
Iterative solutions to matrix equations of form
— To solve systems of linear matrix equations A1XB1 = F1 and A2XB2 = F2, we present iterative algorithms to get the solutions. For any initial value, we prove that the iterative ...
Jie Ding, Yanjun Liu, Feng Ding
IWANN
2001
Springer
15 years 9 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
RTSS
1996
IEEE
15 years 8 months ago
Reducing the number of clock variables of timed automata
We propose a method for reducing the number of clocks of a timed automaton by combining two algorithms. The first one consists in detecting active clocks, that is, those clocks wh...
Conrado Daws, Sergio Yovine
RTSS
1994
IEEE
15 years 8 months ago
On-Line Scheduling to Maximize Task Completions
The problem of uniprocessor scheduling under conditions of overload is investigated. The system objective is to maximzze the number of tasks that complete by their deadlines. For ...
Sanjoy K. Baruah, Jayant R. Haritsa, Nitin Sharma
HYBRID
2007
Springer
15 years 8 months ago
Viability-Based Computations of Solutions to the Hamilton-Jacobi-Bellman Equation
Abstract. This article proposes a new capture basin algorithm for computing the numerical solution of a class of Hamilton-Jacobi-Bellman (HJB) partial differential equations (PDEs)...
Alexandre M. Bayen, Christian G. Claudel, Patrick ...