Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay
X Dai, C Wang, S Tian, Q Huang - Journal of the Franklin Institute, 2019 - Elsevier
Most of the available results of iterative learning control (ILC) are that solve the consensus
problem of lumped parameter models multi-agent systems. This paper considers the …
problem of lumped parameter models multi-agent systems. This paper considers the …
H∞ Filtering for Nonhomogeneous Markovian Jump Repeated Scalar Nonlinear Systems With Multiplicative Noises and Partially Mode-Dependent Characterization
…, F Deng, J Fei, P Cheng, X Dai - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper investigates the H ∞ filtering problem for nonhomogeneous Markovian jump
repeated scalar nonlinear systems with multiplicative noises and partially mode-dependent (PM…
repeated scalar nonlinear systems with multiplicative noises and partially mode-dependent (PM…
Closed-loop P-type iterative learning control of uncertain linear distributed parameter systems
X Dai, S Tian, Y Peng, W Luo - IEEE/CAA Journal of …, 2014 - ieeexplore.ieee.org
An iterative learning control problem for a class of uncertain linear parabolic distributed
parameter systems is discussed, which covers many processes such as heat and mass transfer, …
parameter systems is discussed, which covers many processes such as heat and mass transfer, …
Event‐triggered scheme for fault detection and isolation of non‐linear system with time‐varying delay
In this article, we investigate a new way of dealing with fault detection and isolation (FDI) for
a class of delayed non‐linear systems with an event‐triggered mechanism (ETM). This …
a class of delayed non‐linear systems with an event‐triggered mechanism (ETM). This …
Reliable control design for composite‐driven scheme based on delay networked T‐S fuzzy system
This paper is focused on reliable controller design for a composite‐driven scheme of networked
control systems via Takagi‐Sugeno fuzzy model with probabilistic actuator fault under …
control systems via Takagi‐Sugeno fuzzy model with probabilistic actuator fault under …
Mixed PD-type iterative learning control algorithm for a class of parabolic singular distributed parameter systems
X Dai, X Zhou - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, the iterative learning control (ILC) problem is investigated for a class of time-invariant
parabolic singular distributed parameter systems. Initially, the singular distributed …
parabolic singular distributed parameter systems. Initially, the singular distributed …
Consensus tracking via quantized iterative learning control for singular nonlinear multi-agent systems with state time-delay and initial state error
X Zhou, H Wang, Y Tian, X Dai - Nonlinear Dynamics, 2021 - Springer
This paper investigates the quantized iterative learning consensus tracking problem for
singular nonlinear multi-agent systems (MASs) in the presence of state time-delay and initial …
singular nonlinear multi-agent systems (MASs) in the presence of state time-delay and initial …
D-type iterative learning control for a class of parabolic partial difference systems
X Dai, S Mei, S Tian, L Yu - Transactions of the Institute of …, 2018 - journals.sagepub.com
In this paper, an iterative learning control problem is addressed for a class of parabolic partial
difference systems. Several discrete D-type iterative learning control algorithms with initial …
difference systems. Several discrete D-type iterative learning control algorithms with initial …
A PD-type iterative learning control algorithm for singular discrete systems
S Tian, Q Liu, X Dai, J Zhang - Advances in Difference Equations, 2016 - Springer
Based on a specific decomposition of discrete singular systems, in this paper, we study the
problem of state tracking control by using PD-type algorithm of iterative learning control. The …
problem of state tracking control by using PD-type algorithm of iterative learning control. The …
Sampling-based event-triggered iterative learning control in nonlinear hyperbolic distributed parameter systems
S Zhu, X Dai, R Zhou - Journal of the Franklin Institute, 2024 - Elsevier
This article explores a sampling-based event-triggered iterative learning control (SETILC)
method for achieving precise control in nonlinear hyperbolic distributed parameter systems. …
method for achieving precise control in nonlinear hyperbolic distributed parameter systems. …