Control Lyapunov–Barrier function based model predictive control for stochastic nonlinear affine systems
W Zheng, B Zhu - … Journal of Robust and Nonlinear Control, 2024 - Wiley Online Library
A stochastic model predictive control (MPC) framework is presented in this paper for
nonlinear affine systems with stability and feasibility guarantee. We first introduce the …
nonlinear affine systems with stability and feasibility guarantee. We first introduce the …
[HTML][HTML] Transfer Learning in wastewater treatment plants control: Measuring the transfer suitability
The industrial sector is nowadays experiencing a digital transformation motivated by the
Industry 4.0 paradigm. Concepts such as data-driven models, Artificial Neural Networks …
Industry 4.0 paradigm. Concepts such as data-driven models, Artificial Neural Networks …
Stable data‐driven Koopman predictive control: Concentrated solar collector field case study
Non‐linearity is an inherent feature of practical systems. Although there have been
significant advances in the control of nonlinear systems, the proposed methods often require …
significant advances in the control of nonlinear systems, the proposed methods often require …
Normal form for grid-forming power grid actors
Future power grids will be operating a large number of heterogeneous dynamical actors.
Many of these will contribute to the fundamental dynamical stability of the system, and play a …
Many of these will contribute to the fundamental dynamical stability of the system, and play a …
Connectivity and Mobility Awake Efficient Routing In MWSN
J Lenin, XSA Shiny, K Vanisree… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract Mobile Wireless Sensor Networks (MWSNs) have established their applications in
various streams, particularly in agriculture, forest fire detection, and military applications …
various streams, particularly in agriculture, forest fire detection, and military applications …