Results 21 to 30 of about 3,971 (266)

Online Optimization of Dynamical Systems With Deep Learning Perception

open access: yesIEEE Open Journal of Control Systems, 2022
This paper considers the problem of controlling a dynamical system when the state cannot be directly measured and the control performance metrics are unknown or only partially known.
Liliaokeawawa Cothren   +2 more
doaj   +1 more source

Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints

open access: yesIEEE Access, 2023
An event-triggered-based adaptive fuzzy control strategy is proposed for full state constraints nonlinear systems against time-varying disturbance, non-strict feedback structure, and input delay in this paper.
Zhongjun Yang, Kaixuan Wang, Qi Wu
doaj   +1 more source

Impact of renewable energy penetration rate on power system transient voltage stability

open access: yesEnergy Reports, 2022
Transient voltage stability of power system with high penetration of renewable energy faces challenges. This paper proposes a method for quantitatively evaluating the impact of renewable energy penetration rate on transient voltage stability.
Shuanbao Niu   +5 more
doaj   +1 more source

State Dependent Riccati Equation Based Rotor-Side Converter Control for Doubly Fed Wind Generator

open access: yesIEEE Access, 2018
This paper proposes a rotor-side converter (RSC) control of doubly fed induction generator (DFIG) through state-dependent Riccati equation (SDRE) approach to enhance the low voltage ride through (LVRT) ability.
Boyu Qin, Haoyuan Sun
doaj   +1 more source

Stochastic Memristive Quaternion-Valued Neural Networks with Time Delays: An Analysis on Mean Square Exponential Input-to-State Stability

open access: yesMathematics, 2020
In this paper, we study the mean-square exponential input-to-state stability (exp-ISS) problem for a new class of neural network (NN) models, i.e., continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays ...
Usa Humphries   +6 more
doaj   +1 more source

Input-to-state stability for parameterized discrete-time time-varying nonlinear systems with applications

open access: yes, 2005
Input-testate stability (ISS) of a parameterized familyof discrete-time time-varying nonlinear systems isinvestigated. A converse Lyapunov theorem for such systems is developed.
Laila, Dina Shona   +2 more
core   +1 more source

Towards ℓ2-stability of discrete-time reset control systems via dissipativity theory [PDF]

open access: yes, 2013
This paper proposes conditions on input-output stability of discrete-time reset systems by using some key dissipativity properties. In the continuous-time setting, dissipativity of the base linear system is preserved under reset actions if the storage ...
Carrasco, Joaquín; id_orcid   +1 more
core   +1 more source

Stabilization analysis of impulsive state–dependent neural networks with nonlinear disturbance: A quantization approach

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2020
In this paper, the problem of feedback stabilization for a class of impulsive state-dependent neural networks (ISDNNs) with nonlinear disturbance inputs via quantized input signals is discussed.
Hong Yaxian, Bin Honghua, Huang Zhenkun
doaj   +1 more source

Design of Event-Triggered State-Constrained Stabilizing Controllers for Nonlinear Control Systems

open access: yesIEEE Access, 2022
This paper addresses the event-triggered stabilization problem for nonlinear control-affine systems under state constraints. First, a strong control Lyapunov barrier function (CLBF) method is applied for constructing continuous state-constrained ...
Jia-Yao Jhang   +2 more
doaj   +1 more source

On input-to-state stability of stochastic retarded systems with Markovian switching

open access: yes, 2009
This note develops a Razumikhin-type theorem on pth moment input-to-state stability of hybrid stochastic retarded systems (also known as stochastic retarded systems with Markovian switching), which is an improvement of an existing result.
Mao, X.   +3 more
core   +1 more source

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