Results 1 to 10 of about 11,998 (267)

Dynamic Analysis of the Multi-Lingual S2IR Rumor Propagation Model Under Stochastic Disturbances [PDF]

Entropy
This paper proposes a multi-lingual S2IR rumor propagation model with white noise disturbances, aiming to study its dynamics and stochastic optimal control strategies.
Jinling Wang, Jing Liao, Jun-Guo Lu, Jiarong Li, Mei Liu   +4 more
doaj   +2 more sources

Leader-Follower Formation Control of Uncertain USV Networks under Stochastic Disturbances [PDF]

International Journal of Industrial Electronics, Control and Optimization, 2022
The robust adaptive leader-follower formation control of uncertain unmanned surface vehicles (USVs) subject to stochastic environmental loads is investigated in this paper.
Ali Azarbahram, Naser Pariz, Mohammad Bagher Naghibi-Sistani, Reihaneh Kardehi Moghaddam   +3 more
doaj   +1 more source

Data-Driven Tube-Based Stochastic Predictive Control

IEEE Open Journal of Control Systems, 2023
A powerful result from behavioral systems theory known as the fundamental lemma allows for predictive control akin to Model Predictive Control (MPC) for linear time-invariant (LTI) systems with unknown dynamics purely from data.
Sebastian Kerz, Johannes Teutsch, Tim Brudigam, Marion Leibold, Dirk Wollherr   +4 more
doaj   +1 more source

Iterative Solution of Linear Matrix Inequalities for the Combined Control and Observer Design of Systems with Polytopic Parameter Uncertainty and Stochastic Noise

Algorithms, 2021
Most research activities that utilize linear matrix inequality (LMI) techniques are based on the assumption that the separation principle of control and observer synthesis holds.
Andreas Rauh, Robert Dehnert, Swantje Romig, Sabine Lerch, Bernd Tibken   +4 more
doaj   +1 more source

Ellipsoidal Design of Robust Stabilization of Power Systems Exposed to a Cycle of Lightning Surges Modeled by Continuous-Time Markov Jumps

Energies, 2022
Power system stability is greatly affected by two types of stochastic or random disturbances: (1) topological and (2) parametric. The topological stochastic disturbances due to line faults caused by a series of lightning strikes (associated with circuit ...
Alexander Poznyak, Hussain Alazki, Hisham M. Soliman, Razzaqul Ahshan   +3 more
doaj   +1 more source

Predefined-Time Control of Full-Scale 4D Model of Permanent-Magnet Synchronous Motor with Deterministic Disturbances and Stochastic Noises

Actuators, 2021
This paper presents a predefined-time convergent robust control algorithm that allows the control designer to set the convergence time in advance, independently of initial conditions, deterministic disturbances, and stochastic noises.
Nain de la Cruz, Michael Basin
doaj   +1 more source

Ellipsoidal Design of Robust Stabilization for Markov Jump Power Systems under Normal and Contingency Conditions

Energies, 2022
The essential prerequisites for secure customer service are power system stability and reliability. This work shows how to construct a robust switching control for studying power system load changes using an invariant ellipsoid method.
Hisham M. Soliman, Farag A. El-Sheikhi, Ehab H. E. Bayoumi, Michele De Santis   +3 more
doaj   +1 more source

Parameter Identification and the Finite-Time Combination–Combination Synchronization of Fractional-Order Chaotic Systems with Different Structures under Multiple Stochastic Disturbances

Mathematics, 2022
This paper researches the issue of the finite-time combination-combination (C-C) synchronization (FTCCS) of fractional order (FO) chaotic systems under multiple stochastic disturbances (SD) utilizing the nonsingular terminal sliding mode control (NTSMC ...
Weiqiu Pan, Tianzeng Li, Muhammad Sajid, Safdar Ali, Lingping Pu   +4 more
doaj   +1 more source

Synchronization of power systems under stochastic disturbances

Automatica, 2023
21 pages, 4 tables and 2 ...
Wang, Zhen (author), Xi, Kaihua (author), Cheng, Aijie (author), Lin, H.X. (author), Ran, André C.M. (author), van Schuppen, J.H. (author), Zhang, Chenghui (author)   +6 more
openaire   +4 more sources

High-Order Disturbance Observer-Based Neural Adaptive Control for Space Unmanned Systems With Stochastic and High-Dynamic Uncertainties

IEEE Access, 2021
In this paper, a high order disturbance observer based stochastic adaptive anti-disturbance control algorithm has been designed for the space unmanned systems (SUSs) with high dynamic disturbances and stochastic uncertainties.
Yao Zhang, Xin Ning, Zheng Wang, Dengxiu Yu   +3 more
doaj   +1 more source