Anti-disturbance control theory for systems with multiple disturbances: A survey
The problem of anti-disturbance control has been an eternal topic along with the
development of the control theory. However, most methodologies can only deal with systems …
development of the control theory. However, most methodologies can only deal with systems …
Survey on stochastic distribution systems: A full probability density function control theory with potential applications
A Wang, H Wang - Optimal Control Applications and Methods, 2021 - Wiley Online Library
Complex systems seen either in general engineering practice or economics are subjected to
ever increased uncertainties that are mostly represented as random variables or …
ever increased uncertainties that are mostly represented as random variables or …
[图书][B] Anti-disturbance control for systems with multiple disturbances
Developing the essential theory for architecting and tackling issues faced during complex
realistic engineering problems, this volume focuses on enhanced anti-disturbance control …
realistic engineering problems, this volume focuses on enhanced anti-disturbance control …
Composite disturbance filtering: A novel state estimation scheme for systems with multi-source, heterogeneous, and isomeric disturbances
State estimation has long been a fundamental problem in signal processing and control
areas. The main challenge is to design filters with ability to reject or attenuate various …
areas. The main challenge is to design filters with ability to reject or attenuate various …
Fault diagnosis and fault tolerant control for T–S fuzzy stochastic distribution systems subject to sensor and actuator faults
The problem of fault diagnosis (FD) and fault tolerant control for a class of Takagi–Sugeno (T–
S) fuzzy stochastic distribution control systems subject to sensor and actuator faults is …
S) fuzzy stochastic distribution control systems subject to sensor and actuator faults is …
A novel data-based stochastic distribution control for non-Gaussian stochastic systems
This article presents a novel data-based approach to investigate the non-Gaussian
stochastic distribution control problem. As the motivation of this article, the existing methods …
stochastic distribution control problem. As the motivation of this article, the existing methods …
Improved cubature Kalman filter for spacecraft attitude estimation
Z Qiu, L Guo - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
One of the critical challenges in spacecraft attitude estimation is the handling nonlinear non-
Gaussian noisy conditions originating from measurement errors, model drifts, and incorrect …
Gaussian noisy conditions originating from measurement errors, model drifts, and incorrect …
Alternating differentiation for optimization layers
The idea of embedding optimization problems into deep neural networks as optimization
layers to encode constraints and inductive priors has taken hold in recent years. Most …
layers to encode constraints and inductive priors has taken hold in recent years. Most …
DOB fuzzy controller design for non-Gaussian stochastic distribution systems using two-step fuzzy identification
This paper presents a novel non-Gaussian stochastic control framework for the problem of
disturbance estimation and rejection by combining fuzzy identification technology with …
disturbance estimation and rejection by combining fuzzy identification technology with …
Minimum Entropy Control for Non-Gaussian Stochastic Networked Control Systems and Its Application to a Networked DC Motor Control System
M Ren, J Zhang, M Jiang, M Yu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this brief, a new tracking control algorithm for a class of networked control systems (NCSs)
with non-Gaussian random disturbances and delays is proposed. Due to non-Gaussian …
with non-Gaussian random disturbances and delays is proposed. Due to non-Gaussian …