Results 91 to 100 of about 17,102 (125)

Switching Control for Identification Deception in Cyber-Physical Systems

IEEE Conference on Decision and Control
We investigate the problem of deceiving a malicious agent employing an identification method to estimate the closed-loop dynamics of a cyber-physical system.
Christos N. Mavridis, A. Kanellopoulos, Henrik Sandberg, K. H. Johansson   +3 more
semanticscholar   +1 more source

Dynamic parameters and topological structure identification of complex networks with stochastic perturbations

Cybersecurity and Cyberforensics Conference, 2019
In this paper, both the dynamic parameters and topological structure identification of complex networks with stochastic perturbations are investigated.
Yang Wei, Yan Qing, Wu Xiaohui, Zhang Hua   +3 more
semanticscholar   +1 more source

A Unified Model for Large-Scale Inexact Fixed-Point Iteration: A Stochastic Optimization Perspective

IEEE Transactions on Automatic Control
Calculating fixed points of a nonlinear function is a central problem in many areas of science and engineering with applications ranging from the study of dynamical systems to optimization and game theory.
Abolfazl Hashemi
semanticscholar   +1 more source

Sparse parameter identification of stochastic dynamical systems

Control Theory and Technology, 2022
Wenxiao Zhao
semanticscholar   +1 more source

Graph-Theoretic Method on Topology Identification of Stochastic Multi-weighted Complex Networks with Time-Varying Delayed Coupling Based on Adaptive Synchronization

Neural Processing Letters, 2021
Huiling Chen, Chunmei Zhang, Qin Xu, Yuli Feng   +3 more
semanticscholar   +1 more source

Advanced Stochastic Gradient Estimation for Nonlinear Input Dynamics with Multi-Innovation Generalization

2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE)
The most challenging system to manage in industry is the highly nonlinear one, with the modeling and control of such systems being pivotal and a limiting factor in enhancing product quality and control precision in process industries.
Jingfan Liu, Xiangqun Li
semanticscholar   +1 more source

Optimal discrete stochastic control theory for process application

, 1973
J. Macgregor
semanticscholar   +1 more source

Iterative learning identification and control for point-to-point tracking of linear time-varying systems with unknown parameters and stochastic noise

Transactions of the Institute of Measurement and Control, 2018
Yan Geng, Xiaoe Ruan
semanticscholar   +1 more source

An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models

IEEE Transactions on Information Theory, 2021
Alexander Tartakovsky
exaly  

A new iteration regularization method for dynamic load identification of stochastic structures

Mechanical Systems and Signal Processing, 2021
Linjun Wang, Yixian Du, Youxiang Xie
exaly