2 research outputs found
Optimal control of DC-DC buck converter via linear systems with inaccessible Markovian jumping modes
The note presents an algorithm for the average
cost control problem of continuous-time Markov jump linear
systems. The controller assumes a linear state-feedback form
and the corresponding control gain does not depend on the
Markov chain. In this scenario, the control problem is that of
minimizing the long-run average cost. As an attempt to solve the
problem, we derive a global convergent algorithm that generates
a gain satisfying necessary optimality conditions. Our algorithm
has practical implications, as illustrated by the experiments that
were carried out to control an electronic dc–dc buck converter.
The buck converter supplied a load that suffered abrupt changes
driven by a homogeneous Markov chain. Besides, the source of
the buck converter also suffered abrupt Markov-driven changes.
The experimental results support the usefulness of our algorithm.Peer ReviewedPostprint (author's final draft
Optimal control of DC-DC buck converter via linear systems with inaccessible Markovian jumping modes
The note presents an algorithm for the average
cost control problem of continuous-time Markov jump linear
systems. The controller assumes a linear state-feedback form
and the corresponding control gain does not depend on the
Markov chain. In this scenario, the control problem is that of
minimizing the long-run average cost. As an attempt to solve the
problem, we derive a global convergent algorithm that generates
a gain satisfying necessary optimality conditions. Our algorithm
has practical implications, as illustrated by the experiments that
were carried out to control an electronic dc–dc buck converter.
The buck converter supplied a load that suffered abrupt changes
driven by a homogeneous Markov chain. Besides, the source of
the buck converter also suffered abrupt Markov-driven changes.
The experimental results support the usefulness of our algorithm.Peer Reviewe