On a switching control scheme for nonlinear systems with ill-defined relative degree [PDF]
, 2002 This paper discusses the applicability of a switching control scheme for a nonlinear system with ill-defined relative degree. The control scheme switches between exact and approximate input-output linearisation control laws.
Devasia +4 more
core +1 more source
Neural Koopman Lyapunov Control [PDF]
arXiv, 2022 Learning and synthesizing stabilizing controllers for unknown nonlinear control systems is a challenging problem for real-world and industrial applications. Koopman operator theory allows one to analyze nonlinear systems through the lens of linear systems and nonlinear control systems through the lens of bilinear control systems.
arxiv
Optimal control of nonlinear systems: a predictive control approach [PDF]
, 2003 A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented in this paper. It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time
Ballance, D.J. +2 more
core +3 more sources
Applications of recurrent neural networks in batch reactors. Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature [PDF]
, 1998 Although nonlinear inverse and predictive control techniques based on artificial neural networks have been extensively applied to nonlinear systems, their use in real time applications is generally limited.
Galván, Inés M., Zaldívar, J.M.
core +2 more sources
Robustness under control sampling of reachability in fixed time for nonlinear control systems [PDF]
arXiv, 2020 Under a regularity assumption we prove that reachability in fixed time for nonlinear control systems is robust under control sampling.
arxiv
Controller Reduction for Nonlinear Systems by Generalized Differential Balancing [PDF]
arXiv, 2021 In this paper, we aim at developing computationally tractable methods for nonlinear model/controller reduction. Recently, model reduction by generalized differential (GD) balancing has been proposed for nonlinear systems with constant input-vector fields and linear output functions.
arxiv
Robust Output Feedback Consensus for Networked Heterogeneous Nonlinear Negative-Imaginary Systems [PDF]
, 2020 This paper provides a control protocol for the robust output feedback consensus of networked heterogeneous nonlinear negative-imaginary (NI) systems. Heterogeneous nonlinear output strictly negative-imaginary (OSNI) controllers are applied in positive feedback according to the network topology to achieve output feedback consensus. The main contribution
arxiv +1 more source
Design of a multivariable neural controller for control of a nonlinear MIMO plant
International Journal of Applied Mathematics and Computer Science, 2014 The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław +2 more
doaj +1 more source
Achieving Performance and Safety in Large Scale Systems with Saturation using a Nonlinear System Level Synthesis Approach [PDF]
arXiv, 2020 We present a novel class of nonlinear controllers that interpolates among differently behaving linear controllers as a case study for recently proposed Linear and Nonlinear System Level Synthesis framework. The structure of the nonlinear controller allows for simultaneously satisfying performance and safety objectives defined for small- and large ...
arxiv
Comparison of artificial neural network adaptive control techniques for a nonlinear system with delay [PDF]
arXiv, 2023 This research paper compares two neural-network-based adaptive controllers, namely the Hybrid Deep Learning Neural Network Controller (HDLNNC) and the Adaptive Model Predictive Control with Nonlinear Prediction and Linearization along the Predicted Trajectory (AMPC-NPLPT), for controlling a nonlinear object with delay.
arxiv