... simulation and a physical quadcopter platform. 17. Keywords: quadcopter, UAV, robotics, attitude con18. trol, data-driven control, nonlinear systems, LQR con19. troller 1 INTRODUCTION 20. Over the past decade, Unmanned Aerial Vehicles 21. (UAVs) have attracted great interest from the robotics...

..., Turing’s stability analysis is conspicuously based on linearized dynamics near the steady-state. Therefore, despite its elegance in the case of linear reaction-diffusion PDEs, the Turing analysis is not directly applicable to nonlinear systems. Nonetheless, it has motivated higher-order perturbative...

... modeling nonlinear systems Soft actuators are a crucial component in the development of effective soft robotics. These actuators span a wide range of materials and actuation mechanisms, including shape memory materials (alloys and polymers) [ 1 – 4 ], fluidic actuators [ 5 , 6 ], dielectric...

... Figure networked systems robotics pursuit-evasion games nonlinear controls cooperative control networked control systems nonlinear systems Office of Naval Research 10.13039/100000006 N00014-21-1-2415 This work analyzes the performance of multi-agent control methods...

... systems computational methods computer-aided control design control applications dynamics and control model validation modeling multibody systems nonlinear control nonlinear systems robotics robust control unmanned vehicles vehicle dynamics and control Mobile robots consist...

... in industrial systems. Reference [ 22 ] suggested a dual-layer optimization for nonlinear systems, Ref. [ 23 ] employed Bayesian estimation [ 24 ] for SOPDT control, and Takagi and Sugeno [ 25 ] presents multiple linear models to describe SOPDT system dynamics, used for controller design [ 26 ] and state...

...Seyyed Shaho Alaviani; Atul G. Kelkar This paper generalizes our previous results on semistability and stochastic semistability for switched nonlinear systems published in the Proceedings of 2021 Modeling, Estimation and Control Conference. The paper also provides the results on semistability...

... & Computer Engineering, McGill University , Montreal, Canada . 2 Corresponding author. Email: tyasini@crimson.ua.edu Email: apakniyat@ua.edu 24 07 2023 24 09 2023 25 09 2023 31 10 2023 hybrid systems nonlinear control nonlinear systems optimal controls...

... diffusion), it can be shown in Ref. [ 14 ] that the corresponding probability density function satisfies a (deterministic) partial differential equation known as the F–P equation. While F–P equations can be challenging for nonlinear systems (particularly those driven by multiplicative noise), their closed...

...@clemson.edu Email: bumathe@clemson.edu Email: uvaidya@clemson.edu Email: atul@clemson.edu 23 07 2023 18 09 2023 18 09 2023 25 10 2023 parameter uncertainty linear operator approach reachability analysis autonomous systems nonlinear systems optimization algorithms...

... and control emerging control approaches flight control intelligent systems linear systems machine learning neural networks nonlinear control nonlinear systems unmanned vehicles vehicle dynamics and control Copyright © 2023 by ASME 2023 American Society of Mechanical Engineers 2689-6117/2023...

... 01 04 2021 21 06 2021 23 06 2021 16 07 2021 algebraic/geometric methods MEMS model validation modeling multibody systems nonlinear systems vibrations Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 RGPIN-2017-03866...

... performance through modeling, estimation, and, ultimately, optimal control. The paper focuses specifically on the problem of parameterizing Li-S battery models from experimental data: a critical first step towards model-based control. lithium-sulfur battery parameter identification nonlinear systems...

... 30 01 2021 23 02 2021 actuators biologically inspired methods flexible structures system identification modeling nonlinear systems robotics There are a variety of soft actuation mechanisms in the literature, including hydraulic [ 7 , 8 ], pneumatic [ 9 ], and elastic [ 10...

... 08 2020 chaos classification hidden Markov modeling Hénon map Duffing Rössler systems Lorenz attractor chaotic system machine learning nonlinear systems Edward Lorenz introduced the concept of chaos in the form of the Butterfly Effect [ 1 ], where he suggested...

.... Email: hailin@vt.edu Email: jingyq1@vt.edu Email: bentzvi@vt.edu 23 10 2019 26 02 2020 15 03 2020 27 03 2020 dynamics and control machine learning neural networks nonlinear systems robotics Flat systems have gained popularity for analyzing and designing...