Introduction to Nonlinear Systems Modelling and Control

Grimble, M.J.; Majecki, Paweł

doi:10.1007/978-1-4471-7457-8_1

Cited by 3 publications

(1 citation statement)

References 72 publications

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“…On the other hand, piecewise smooth (i.e., discrete-or continuous-time dynamical system whose phase space is partitioned in different regions, each associated to a different functional form of the system vector field [5]) and hybrid dynamical systems (i.e., systems involving both continuous and discrete behaviors [18]) are increasingly used in engineering and applied sciences to model a wide variety of physical systems and technological devices. Examples are mechanical systems with friction and impacts [19], walking robots [20], genetic regulatory networks [21], power electronic converters [22]- [24], hybrid control systems [25], systems with backlash [26], and saturation phenomena. Piecewise smooth dynamics have also appeared in economics and social science, mainly in sustainability development [27], bio-economics [28], and electricity markets [29]- [31].…”

Section: Introductionmentioning

confidence: 99%

Non-Smooth Dynamics in Energy Market Models: A Complex Approximation From System Dynamics and Dynamical Systems Approach

et al. 2020

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and Colciencias (the Colombian research council) for the financial support under project 811-2018 Posdoctorados Nacionales. Gerard Olivar acknowledges Colciencias under project Modelado y simulación del metabolismo urbano de la ciudad de Bogotá D.C., code 111974558276; and DIMA, Universidad Nacional de Colombia under project Modelamiento avanzado de mercados de energía eléctrica para toma de decisiones de inversión y establecimiento de políticas, Hermes code 35467.

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Section: Introductionmentioning

confidence: 99%

Non-Smooth Dynamics in Energy Market Models: A Complex Approximation From System Dynamics and Dynamical Systems Approach

et al. 2020

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Analysis of improved fractional backstepping and lyapunov strategies for stabilization of inverted pendulum

MUKHERJEE,

RAJA,

KUNDU

et al. 2024

Sādhanā

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Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm

Zhu,

Hu,

et al. 2024

Sci Rep

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Permanent magnet synchronous motor (PMSM) drive systems are receiving increasing attention due to their superior control quality and efficiency. Optimizing the control parameters are key to achieve the high-performance operation of PMSMs. Although heuristic algorithms demonstrate excellent optimization outcomes in simulations, there are still challenges in deploying optimization schemes in practical drives. In this study, a real-time online deployable control parameter optimization scheme is proposed. The optimization effect is evaluated through the system step response performance, and a framework for deploying optimization algorithms within the driver is developed. A fault suppression mechanism is also designed to mitigate overshoot and vibration issues caused by suboptimal solutions. The proposed scheme is validated on a rapid prototyping control platform. Experimental results confirm that the scheme exhibits good optimization performances across various operating conditions. The honey badger algorithm employed in this paper shows faster convergence and more stable optimization effects than other optimization algorithms. The optimization effect is improved by 2.2% and its performance in terms of consistency across multiple optimization results has increased by 40%.

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Introduction to Nonlinear Systems Modelling and Control

Cited by 3 publications

References 72 publications

Non-Smooth Dynamics in Energy Market Models: A Complex Approximation From System Dynamics and Dynamical Systems Approach

Non-Smooth Dynamics in Energy Market Models: A Complex Approximation From System Dynamics and Dynamical Systems Approach

Analysis of improved fractional backstepping and lyapunov strategies for stabilization of inverted pendulum

Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm

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