Results 151 to 160 of about 22,081,541 (270)
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
Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning. [PDF]
Khaniki MAL, Mirzaee M, Moradi E.
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
Bifurcations and Hyperchaos in Mathematical Models of Sleep. [PDF]
Scibilia A, Fortuna L.
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
Real-time HIL validation of a lyapunov-guaranteed optimal FOPID controller for quadrotor UAV trajectory tracking. [PDF]
Elbasueny B +4 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
Integrated Trajectory Planning, MEC Offloading, and Safety Coordination for Multi-UAV Disaster Response. [PDF]
Armoush R +3 more
europepmc +1 more source
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
Observer-based optimal and robust output regulation for nonlinear systems. [PDF]
Qazi AKA, Memon AY.
europepmc +1 more source

