Improved finite control set model predictive current control design for variable-speed wind-energy conversion system connected to the grid via an LCL filter. [PDF]
Hamid HBA +7 more
europepmc +1 more source
Methods for Determining the Number of Mold Fungi in the Air—Current Trends
A unified methodological framework combining culture‐based, molecular, and data‐driven approaches to advance reliable measurement and interpretation of indoor fungal bioaerosols. ABSTRACT Indoor fungal contamination poses significant health concerns due to the diversity and dynamic behaviour of airborne spores.
Juhi Mishra, Wioletta Przystas
wiley +1 more source
Safe Stabilization Using Non‐Smooth Control Lyapunov Barrier Function
ABSTRACT This paper addresses the challenge of safe stabilization, ensuring the system state reaches the origin while avoiding unsafe state regions. Existing approaches that rely on smooth Lyapunov barrier functions often fail to guarantee a feasible controller. To overcome this limitation, we introduce the non‐smooth control Lyapunov barrier function (
Jianglin Lan +3 more
wiley +1 more source
Joint power-time resource optimization for multi-tag RFID wireless power transfer via model predictive control and ADMM. [PDF]
Yuan L, Wang X, Chen H, Wang Y.
europepmc +1 more source
Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini +2 more
wiley +1 more source
Model Predictive Control-Based Assist-as-Needed Strategy for Reducing Motor Slacking in Robot-Assisted Rehabilitation. [PDF]
Kim C, Moon Y, Choi J.
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Cascaded adaptive model predictive and PID control for integrated LFC-AVR enhancement. [PDF]
Ayman M, Attia MA, Asim AM.
europepmc +1 more source
Abstract This study investigates a fault‐tolerant control (FTC) approach for continuous stirred‐tank reactors (CSTR), emphasizing the importance of timely interventions to ensure operational safety under fault conditions. A systematic methodology combining residual‐based fault estimation and Dynamic Safety Margin (DSM) monitoring is developed to guide ...
Pu Du +3 more
wiley +1 more source
Adaptive linear MPC for a PMSM-driven autonomous EV with a filtered third-order generalized integrator observer. [PDF]
Ismail MM +4 more
europepmc +1 more source

