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Adaptive fuzzy control for nontriangular structural stochastic switched nonlinear systems with full state constraints
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …
Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems
This paper solves the stochastically finite-time control problem for uncertain stochastic
nonlinear systems in nontriangular form. The considered controlled plants are different from …
nonlinear systems in nontriangular form. The considered controlled plants are different from …
Adaptive-gain observer-based stabilization of stochastic strict-feedback systems with sensor uncertainty
We study the adaptive output-feedback stabilization problem of stochastic strict-feedback
systems with sensor uncertainty. Specifically, we consider the simultaneous presence of …
systems with sensor uncertainty. Specifically, we consider the simultaneous presence of …
Observer-based adaptive fuzzy backstep** control for a class of stochastic nonlinear strict-feedback systems
S Tong, Y Li, Y Li, Y Liu - IEEE Transactions on Systems, Man …, 2011 - ieeexplore.ieee.org
In this paper, two adaptive fuzzy output feedback control approaches are proposed for a
class of uncertain stochastic nonlinear strict-feedback systems without the measurements of …
class of uncertain stochastic nonlinear strict-feedback systems without the measurements of …
Robust adaptive fuzzy tracking control for pure-feedback stochastic nonlinear systems with input constraints
This paper is concerned with the problem of adaptive fuzzy tracking control for a class of
pure-feedback stochastic nonlinear systems with input saturation. To overcome the design …
pure-feedback stochastic nonlinear systems with input saturation. To overcome the design …
A new approach to finite-time adaptive stabilization of high-order uncertain nonlinear system
ZY Sun, LR Xue, K Zhang - Automatica, 2015 - Elsevier
This paper investigates the finite-time stabilization problem for a class of high-order
uncertain nonlinear systems. The novel control strategy combining sign function with …
uncertain nonlinear systems. The novel control strategy combining sign function with …
A survey on Markovian jump systems: modeling and design
Markovian jump systems are a special class of hybrid and stochastic systems which can be
used to describe many real world applications, such as manufacturing systems, power …
used to describe many real world applications, such as manufacturing systems, power …
Neural-based adaptive output-feedback control for a class of nonstrict-feedback stochastic nonlinear systems
In this paper, we consider the problem of observer-based adaptive neural output-feedback
control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To …
control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To …
Sensor fault estimation and tolerant control for Itô stochastic systems with a descriptor sliding mode approach
M Liu, P Shi - Automatica, 2013 - Elsevier
This paper investigates the problem of fault estimation and fault-tolerant control against
sensor failures for a class of nonlinear Itô stochastic systems with simultaneous input and …
sensor failures for a class of nonlinear Itô stochastic systems with simultaneous input and …
Adaptive neural tracking control for a class of nonstrict-feedback stochastic nonlinear systems with unknown backlash-like hysteresis
This paper considers the problem of adaptive neural control of stochastic nonlinear systems
in nonstrict-feedback form with unknown backlash-like hysteresis nonlinearities. To …
in nonstrict-feedback form with unknown backlash-like hysteresis nonlinearities. To …