Results 151 to 160 of about 557,874 (331)
ERGODIC PRORERTY OF N-DIMENSIONAL RECURRENT MARKOV PROCESSES
, 1959 Gisirô Maruyama, Hiroshi Tanaka
openalex +2 more sources
Asian Journal of Control, EarlyView.Abstract This paper investigates the problem of observer‐based sliding mode control (SMC) of stochastic uncertain Markov jump systems using dual‐driven event‐triggered mechanism (ETM). The ETM is implemented not only in the system output to the observer channel but also in the feedback channel, forming a dual ETM, which can effectively reduce ...
Haocheng Lou +2 more
wiley +1 more source
A Multi-stage Representation of Cell Proliferation as a Markov Process. [PDF]
Bull Math Biol, 2017 Yates CA, Ford MJ, Mort RL.
europepmc +1 more source
Asian Journal of Control, EarlyView.Abstract This paper focuses on the issue of adaptive event‐triggered containment control for Markov jump multi‐agent systems characterized by hidden Markov jump parameters. The central objective is to design an output‐feedback controller for the Markov jump multi‐agent system by using an adaptive event‐triggered technique that not only ensures the ...
Parivallal Arumugam +3 more
wiley +1 more source
Dynamic chromatin accessibility modeled by Markov process of randomly-moving molecules in the 3D genome. [PDF]
Nucleic Acids Res, 2017 Wang Y, Fan C, Zheng Y, Li C.
europepmc +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source