Advances in the Control of Markov Jump Linear Systems with No Mode Observation
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Product Details
Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783319398341
Condition
New
Product Description
This brief broadens readers understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.
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