Optimal control for unknown discrete-time nonlinear Markov jump systems using adaptive dynamic programming
In this paper, we develop and analyze an optimal control method for a class of discrete-time
nonlinear Markov jump systems (MJSs) with unknown system dynamics. Specifically, an …
nonlinear Markov jump systems (MJSs) with unknown system dynamics. Specifically, an …
State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
J Hu, D Chen, J Du - International Journal of General Systems, 2014 - Taylor & Francis
In this paper, the state estimation problem is investigated for a class of discrete nonlinear
systems with randomly occurring uncertainties and distributed sensor delays. The norm …
systems with randomly occurring uncertainties and distributed sensor delays. The norm …
Adaptive neural state estimation of Markov jump systems under scheduling protocols and probabilistic deception attacks
The neural-network (NN)-based state estimation issue of Markov jump systems (MJSs)
subject to communication protocols and deception attacks is addressed in this article. For …
subject to communication protocols and deception attacks is addressed in this article. For …
State estimation for discrete-time Markov jump linear systems with time-correlated measurement noise
W Liu - Automatica, 2017 - Elsevier
In this paper, the state estimation problem for discrete-time Markov jump linear systems
affected by time-correlated measurement noise is considered where the time-correlated …
affected by time-correlated measurement noise is considered where the time-correlated …
Bayesian state estimation for Markovian jump systems: Employing recursive steps and pseudocodes
In this article, we review several existing Bayesian state-estimation algorithms for Markovian
jump systems (MJSs) and illustrate their distinctive properties. Specifically, we analyze the …
jump systems (MJSs) and illustrate their distinctive properties. Specifically, we analyze the …
A neural network based online learning and control approach for Markov jump systems
In this paper, we propose an optimal online control method for discrete-time nonlinear
Markov jump systems (MJSs). The Markov chain and the weighted sum technique are …
Markov jump systems (MJSs). The Markov chain and the weighted sum technique are …
Distributed fusion estimation with square-root array implementation for Markovian jump linear systems with random parameter matrices and cross-correlated noises
This study presents the distributed fusion estimation of discrete-time Markovian jump linear
systems with random parameter matrices and cross-correlated noises in sensor networks …
systems with random parameter matrices and cross-correlated noises in sensor networks …
Survey of duality between linear quadratic regulation and linear estimation problems for discrete-time systems
The linear estimation (or optimal control) problem in the emerging area of time-delay
systems, multiplicative noise systems, and Markov jump linear systems has been taken into …
systems, multiplicative noise systems, and Markov jump linear systems has been taken into …
Design of FIR-Type Filtering Algorithms for Markov Jump Linear Systems
To design a finite impulse response (FIR) filter for Markov jump linear systems (MJLSs), a
fundamental problem is to avoid constructing the extended state-space model without …
fundamental problem is to avoid constructing the extended state-space model without …
Linear minimum mean‐square estimation for discrete‐time measurement‐delay systems with multiplicative noise and Markov jump
This study addresses the estimation problem for discrete‐time measurement‐delay systems
with multiplicative noise and Markov jump. First, the state equation is converted into two …
with multiplicative noise and Markov jump. First, the state equation is converted into two …