Results 151 to 160 of about 22,081,541 (270)

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 15, Page 7193-7213, October 2026.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani   +1 more
wiley   +1 more source

Enhanced Control of 1.5 MW DFIG Generators in MRWT Systems Using GA‐Based PI‐ST‐SMC: Comparative Assessment With ST‐SMC

open access: yesWind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT This paper proposes a novel genetic algorithm‐based proportional–integral super‐twisting sliding mode control (GA‐PI‐ST‐SMC) strategy for the rotor‐side converter of a 1.5 MW doubly‐fed induction generator (DFIG) operating in marine renewable wind turbine (MRWT) systems.
Habib Benbouhenni   +3 more
wiley   +1 more source

Bifurcations and Hyperchaos in Mathematical Models of Sleep. [PDF]

open access: yesBioengineering (Basel)
Scibilia A, Fortuna L.
europepmc   +1 more source

Multi‐Domain Linear Hybrid Semi‐Mechanism Modeling and Two‐Level Coordinated Control for a Cascade Dual‐Rotor Wind Turbine

open access: yesWind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT For a newly emerging kind of cascade dual‐rotor wind turbine (CDR‐WT), the coordinated control of its front and rear rotor faces significant challenges. To solve this problem, a novel modeling and control design approach is presented in this paper.
Yang Hu   +3 more
wiley   +1 more source

Control Systems Design With Enlarged Stability Domains for Nonlinear Constrained Systems via Sum‐of‐Squares Optimization

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 14, Page 6856-6876, 25 September 2026.
ABSTRACT Designing safe control laws for nonlinear systems is challenging, especially when ensuring stability under actuator saturation and state constraints. A key aspect is embedding controllers with a Region of Attraction (ROA), which defines initial conditions guaranteeing convergence to a stable equilibrium point (EP).
Bhaskar Biswas   +3 more
wiley   +1 more source

Enhancing Reference Tracking in Induction Motor Drives: A Hybrid Model Predictive Control and Artificial Neural Network Approach

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 14, Page 6719-6738, 25 September 2026.
ABSTRACT Induction motors (IMs) are widely used in industry for their robustness and cost‐effectiveness, yet their nonlinear and multivariable dynamics pose significant challenges for high‐performance speed control. Model Predictive Control (MPC) is a well‐established solution but suffers from limitations related to model accuracy and parameter ...
Asier del Rio   +4 more
wiley   +1 more source

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