Results 151 to 160 of about 11,987,045 (279)
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
HRL-Det: Hierarchical Reinforcement Learning for Sequential Object Detection in Aerial Imagery. [PDF]
Li M, Hu Y.
europepmc +1 more source
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
A 4D hyperchaotic image encryption scheme using Circular Radius-Angle Transformation and bit-level permutation. [PDF]
Khalaf MA +4 more
europepmc +1 more source
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
Load identification method for pepper harvesting drum based on dynamic chaotic characteristics of vibration-torque coupling. [PDF]
Wei C +8 more
europepmc +1 more source
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
Adaptive Neural Control for Constrained Biomimetic Rehabilitation Robots Using a Novel High-Order Integral Barrier Function. [PDF]
Zhang T, Zhang J, Yan P.
europepmc +1 more source
Investigation of the applicability of Lyapunov exponents for transient stability assessment
Lyapunov Exponents (LEs) measure the exponential rates of divergence or convergence of nearby trajectories in state-space models. The study presented in this paper investigates the applicability of this concept to power system transient stability ...
Wadduwage, DP +2 more
core
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

