Results 51 to 60 of about 1,367 (181)

Real-time implementation of nonlinear model predictive control for high angle of attack Maneuvers in fighter aircrafts using deep learning

Systems Science & Control Engineering
Nonlinear model predictive control (NMPC) provides a nice framework for accounting for multivariable nonlinear dynamics subject to constraints; however, the cost of implementing NMPC is high due to the need to solve a large-scale nonlinear program to ...
Muhammad Faheem Manzoor, Joel A. Paulson, Yasir Awais Butt, Fazal-ur Rehman, Aamer Iqbal Bhatti   +4 more
doaj   +1 more source

Coupling Nitrogenous Organic Wastewater Treatment and Biorefinery via N‐Cycling Bacterium

Advanced Science, Volume 13, Issue 7, 3 February 2026.
The vast reservoir of nitrogenous organic pollutants in industrial wastewaters can serve as untapped carbon‐nitrogen resources. This study employs the newly discovered Paracoccus sp. ZQW‐1 as a versatile chassis to simultaneously achieve N‐methylpyrrolidone (NMP) wastewater depuration and polyhydroxybutyrate (PHB) synthesis.
Ziqian Wang, Chunyu Du, Guanyu Zheng, Dahu Ding   +3 more
wiley   +1 more source

Neural network‐based offset‐free model predictive control for nonlinear systems

AIChE Journal, Volume 72, Issue 2, February 2026.
Abstract This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model is augmented with an integrating disturbance model, resulting in an ...
Hesam Hassanpour, Prashant Mhaskar
wiley   +1 more source

Industrial Inspection Robot With Large Configuration Space Based on Geometry‐Changing Tracked Robot

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT With the increasing demand for automated inspection solutions in complex industrial environments, existing robotic platforms face significant limitations in terms of endurance, payload capacity and obstacle‐crossing capabilities. In this paper, we present a novel inspection robot system based on the CubeTrack tracked platform, featuring a ...
Ge Wan, Mengke Zhang, Yin He, Dehua Chen, Chao Xu, Jie Sun, Yanjun Cao   +6 more
wiley   +1 more source

Decentralized Real-Time Iterations for Distributed NMPC

IEEE Transactions on Automatic Control
This article presents a Real-Time Iteration (RTI) scheme for distributed Nonlinear Model Predictive Control (NMPC). The scheme transfers the well-known RTI approach, a key enabler for many industrial real-time NMPC implementations, to the setting of cooperative distributed control.
Gösta Stomberg, Alexander Engelmann, Moritz Diehl, Timm Faulwasser   +3 more
openaire   +2 more sources

Solution to Asymptotic Stability in Tracking Control of Nonlinear Systems With Control Input Differentiation, Actuator Dynamics, and Saturation Constraints

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
The work delivers a rigorous mathematical framework for asymptotic tracking in nonlinear systems that explicitly include control‐input derivatives, actuator dynamics, and input saturation, with Lyapunov‐based proofs establishing convergence and robustness under their coupled effects.
Mohammad Reza Homaeinezhad, Mir Mohammad Mousavi Alvar, Ali Soordi, Mojtaba Aghaei, Ali Hatefikousha, Taha Charehjoo   +5 more
wiley   +1 more source

Adaptive NMPC-RBF with Application to Manipulator Robots

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023
Control algorithms must deal with model uncertainties and disturbances, making them perfect for real-world applications. In addition, increased computational power in the industrial field allows the implementation of advanced control algorithms such as nonlinear model predictive control (NMPC), which is an optimal control scheme that includes system ...
Luis F. Recalde, José Varela 0002, Bryan S. Guevara, Víctor H. Andaluz, Daniel Gandolfo   +4 more
openaire   +1 more source

A Layered Framework for Formation Control of Multiple Underactuated Autonomous Underwater Vehicles

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel layered framework to solve the formation control problem for multiple underactuated AUVs. The approach decouples formation requirements from individual control tasks into a SC layer and a PTT layer, both designed for fixed‐time convergence.
Jiacheng Chang, Lanyong Zhang, Yifan Tan, Hongjun Yu   +3 more
wiley   +1 more source

Robust MPC for Building Energy Optimization With Continuous and Discrete Inputs

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper presents a computationally efficient multi‐stage MPC framework for optimizing energy generation, consumption, and storage in non‐residential buildings with mixed‐integer dynamics. The recursive feasibility of the proposed formulation is established and tested through simulations on an actual office building, simultaneously optimizing thermal
Shahriar Dadras Javan, Benedikt Lammersmann, Martin Mönnigmann   +2 more
wiley   +1 more source

An economic NMPC formulation for wind turbine control [PDF]

52nd IEEE Conference on Decision and Control, 2013
Model Predictive Control (MPC) is a strong candidate for the control of large Multi-MegaWatt Wind Turbine Generators. Several MPC and some Nonlinear MPC scheme have been proposed in the literature, based on reference-tracking objective functions. While the resulting schemes offer very promising results, the difficulty of tuning a reference-tracking ...
openaire   +1 more source