A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete‐Time Systems

Y Jiang, C Yang, H Ma - Discrete Dynamics in Nature and …, 2016 - Wiley Online Library
Over the last few decades, the intelligent control methods such as fuzzy logic control (FLC)
and neural network (NN) control have been successfully used in various applications. The …

Decentralized adaptive synchronization of a stochastic discrete-time multiagent dynamic model

HB Ma - SIAM Journal on Control and Optimization, 2009 - SIAM
A decentralized adaptive synchronization problem for a simple yet nontrivial discrete-time
stochastic model of network dynamics is investigated, which also illustrates a general …

Finite-model adaptive control using WLS-like algorithm

H Ma - Automatica, 2007 - Elsevier
This paper concerns the adaptive control problem for a class of discrete-time nonlinear
uncertain systems of which the internal uncertainty can be characterized by a finite set of …

A framework of finite-model Kalman filter with case study: MVDP-FMKF algorithm

F Bo, M Hong-Bin, F Meng-Yin, W Shun-Ting - Acta Automatica Sinica, 2013 - Elsevier
Kalman filtering techniques have been widely used in many applications, however, standard
Kalman filters for linear Gaussian systems usually cannot work well or even diverge in the …

Several algorithms for finite-model adaptive control: partial answers to finite-model adaptive control problem

H Ma - Mathematics of Control, Signals, and Systems, 2008 - Springer
Finite-model adaptive control problem is studied for a class of discrete-time nonlinear
uncertain systems. This problem was motivated by recent efforts on the capability and …

Smooth switching control for discrete‐time multi‐variable systems with unknown time‐varying parameters

Q Hu, H Ma, Q Fei, Q Geng, Q Wu - IET Control Theory & …, 2015 - Wiley Online Library
For a class of discrete‐time multi‐variable systems with time‐varying parametric uncertainty,
the parameter identification method and switching control architecture are developed in this …

有限模型卡尔曼滤波的框架及一个实例: MVDP-FMKF 算法

冯波, 马宏宾, 付梦印, 汪顺亭 - 自动化学报, 2013 - aas.net.cn
卡尔曼滤波技术在很多领域已得到广泛的应用, 标准卡尔曼滤波算法是基于线性高斯系统模型
假设, 需要已知精确的系统模型. 当系统模型存在较大不确定性时, 运用基于不精确系统模型设计 …

Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems

C Wen, X Long, Y Mu - Journal of Systems Science and Complexity, 2015 - Springer
In recent years, power saving problem has become more and more important in many fields
and attracted a lot of research interests. In this paper, the authors consider the power saving …

A Framework of Finite-Model Kalman Filter with Case Study: MVDP-FMKF Algorithm

H Ma, L Yan, Y Xia, M Fu, H Ma, L Yan, Y Xia… - Kalman Filtering and …, 2020 - Springer
Kalman filtering techniques have been widely used in many applications; however, standard
Kalman filters for linear Gaussian systems usually cannot work well or even diverge in the …

Adaptive switching control of a class of nonlinear systems based on multiple models

Z Yan-Xia - Proceedings of the 31st Chinese Control …, 2012 - ieeexplore.ieee.org
The transient behaviors of traditional adaptive control may be very poor in general. A
practically feasible approach to improve the transient performances is the adoption of …