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检索条件"任意字段=Conference on Complexity and Nonlinear Dynamics"

共 1434 条记录，以下是151-160 订阅

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Filter Based Saturated Controller for a class of nonlinear Singularly Perturbed System

Filter Based Saturated Controller for a class of nonlinear S...

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Control Instrumentation System conference (CISCON)

作者： Dipak Prasad Sudarshan K. Valluru Madan Mohan Rayguru Department Electrical Engineering Delhi Technological University New Delhi J.B. Speed School of Engineering University of Louisville Kentucky USA

ISBN: (数字)9798350375480

ISBN: (纸本)9798350375497

The design and implementation of a filter-saturated controller for a singularly perturbed system (SPS), especially implemented in a single-link manipulator (SLM) system, is presented in this study. Singularly perturbed systems exhibit both fast and slow dynamics, which enables the decomposition of the total system into distinct timescales. These systems frequently exhibit complexity and unpredictable behaviour, which may have a negative impact on the performance. These challenges are addressed by designing a nonlinear saturated controller with a filter and disturbance observer using the singular perturbation technique. The controller’s effectiveness is demonstrated by its capability to control the manipulator’s movement efficiently while also effectively handling saturation limits and disturbances. This demonstration underscores the controller’s suitability for real-world applications involving singular perturbations.

关键词： Service robots Perturbation methods Welding Instruments Materials handling Disturbance observers Distance measurement nonlinear dynamical systems Monitoring Manipulator dynamics

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KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in nonlinear Discrete-Time Systems 62

KCRL: Krasovskii-Constrained Reinforcement Learning with Gua...

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62nd IEEE conference on Decision and Control (CDC)

作者： Lale, Sahin Shi, Yuanyuan Qu, Guannan Azizzadenesheli, Kamyar Wierman, Adam Anandkumar, Anima Caltech Dept Comp & Math Sci Pasadena CA 91125 USA Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA Nvidia Corp Santa Clara CA USA

ISBN: (纸本)9798350301243

Learning a dynamical system requires stabilizing the unknown dynamics to avoid state blow-ups. However, the standard reinforcement learning (RL) methods lack formal stabilization guarantees, which limits their applicability for the control of real-world dynamical systems. We propose a novel policy optimization method that adopts Krasovskii's family of Lyapunov functions as a stability constraint. We show that solving this stability-constrained optimization problem using a primal-dual approach recovers a stabilizing policy for the underlying system even under modeling error. Combining this method with model learning, we propose a model-based RL framework with formal stability guarantees, Krasovskii-Constrained Reinforcement Learning (KCRL). We theoretically study KCRL with kernel-based feature representation in model learning and provide a sample complexity guarantee to learn a stabilizing controller for the underlying system. Further, we empirically demonstrate the effectiveness of KCRL in learning stabilizing policies in online voltage control of a distributed power system. We show that KCRL stabilizes the system under various real-world solar and electricity demand profiles, whereas standard RL methods often fail to stabilize.

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Single Trajectory Nonparametric Learning of nonlinear dynamics 35

Single Trajectory Nonparametric Learning of Nonlinear Dynami...

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35th conference on Learning Theory (COLT)

作者： Ziemann, Ingvar Sandberg, Henrik Matni, Nikolai KTH Royal Inst Technol Stockholm Sweden Univ Penn Philadelphia PA 19104 USA

Given a single trajectory of a dynamical system, we analyze the performance of the nonparametric least squares estimator (LSE). More precisely, we give nonasymptotic expected l(2)-distance bounds between the LSE and the true regression function, where expectation is evaluated on a fresh, counterfactual, trajectory. We leverage recently developed information-theoretic methods to establish the optimality of the LSE for nonparametric hypotheses classes in terms of supremum norm metric entropy and a subgaussian parameter. Next, we relate this subgaussian parameter to the stability of the underlying process using notions from dynamical systems theory. When combined, these developments lead to rate-optimal error bounds that scale as T-1/(2+q) for suitably stable processes and hypothesis classes with metric entropy growth of order delta(-q). Here, T is the length of the observed trajectory, delta is an element of R+ is the packing granularity and q is an element of (0, 2) is a complexity term. Finally, we specialize our results to a number of scenarios of practical interest, such as Lipschitz dynamics, generalized linear models, and dynamics described by functions in certain classes of Reproducing Kernel Hilbert Spaces (RKHS).

关键词： Trajectories

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Emulation of nonlinear dynamics of RF Power Amplifier on FPGA 9

Emulation of Nonlinear Dynamics of RF Power Amplifier on FPG...

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9th IEEE International conference for Convergence in Technology, I2CT 2024

作者： Shakeel, Abuzar Dey, Arpita Bhattacharya, Rahul Vincent, Roy Department of Electronics Engineering Dhanbad India Analog Devices India Pvt. Ltd. Bengaluru India

ISBN: (纸本)9798350394474

This paper presents a flexible field-programmable gate array (FPGA)-based emulation framework for RF power amplifiers (PAs). Emulation model of RF PA proves instrumental for testing their performance in hardware before manufacturing. It also facilitates faster design and optimization of advanced signal processing algorithms like digital predistortion. The applicability extends to broader use cases such as reconfigurable RF PAs. The proposed framework employs black-box modeling, obviating the need for internal constitution details and relying solely on input and output signal observations. The framework is built in MATLAB/Simulink® environment with HDL Coder tool box due to its parameterizability and flexibility in synthesizing hardware from a Simulink® design. The effectiveness of the proposed emulationframework is evaluated through FPGA emulation of GaN PA modules, namely, QPA2705 and GTRB424908FC/1 respectively on Xilinx Kintex-7® FPGA. Behavioral simulation results show that the performance of PA models having different non-linearity orders and memory depths matches well with that of PA output characterization data in terms of NMSE as well as ACEPR. The emulation model's validation was performed through an in-depth analysis, encompassing power curves, as well as power spectral density plots. Various models were examined and compared based on their accuracy and hardware complexity. FPGA emulation results for PA are shown to be precisely matching with that of behavioral simulation. Besides, the paper also compares the resource utilization for FPGA synthesis of PA models. © 2024 IEEE.

关键词： Power amplifiers

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Light-switchable quasi-BIC optical vortex generators

Light-switchable quasi-BIC optical vortex generators

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conference on Active Photonic Platforms held Part of SPIE Nanoscience and Engineering conference

作者： Wu, Yuhao Kang, Lei Campbell, Sawyer D. Werner, Pingjuan L. Werner, Douglas H. Penn State Univ Dept Elect Engn University Pk PA 16802 USA

ISBN: (纸本)9781510653771;9781510653764

Optical vortices, the spatial modes of an electromagnetic wave carrying orbital angular momentum (OAM), have attracted increasing interest because of their potential for applications in optical communication with enhanced security and channel capacity. A unique optical vortex (OV) generation method has been recently proposed based on the Pancharatnam-Berry (PB) phase induced by the winding topology of polarization around a vortex singularity at bound states in the continuum (BIC). Compared with the recently emergent metasurface-based OV generators, which rely on spatial variations, the BIC-based OV generators have yielded advances in terms of design feasibility, fabrication complexity, and robustness. However, their applications in practical photonic systems are currently limited because OV generations from BIC-related devices originate from the topological property of the photonic bands and cannot be dynamically altered. Here, by leveraging the vortex topology in momentum space together with the nonlinear dynamics of silicon, we demonstrate that a silicon photonic crystal slab can realize optically switchable OV generation. In particular, the spatial tunability and the switching effects in the picosecond scale are studied using nonlinear modeling at near-infrared wavelengths. The demonstrated nontrivial topological nature of the active generators can expand the application of BIC-based devices to include ultrafast vortex beam generation, high-capacity optical communication, and mode-division multiplexing.

关键词： Optical Vortex (OV) Bound States in the Continuum (BIC) nonlinear-Optics Topological Photonics

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Fully Actuated System Approach-Based Adaptive Event-Triggered Control for nonlinear Switched Systems

Fully Actuated System Approach-Based Adaptive Event-Triggere...

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Fully Actuated System Theory and Applications (CFASTA), conference on

作者： Chengyuan Yan Jianwei Xia Wei Sun School of Mathematics Science Liaocheng University Liaocheng P. R. China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

In this paper, an event-triggered control scheme for nonlinear switched system is proposed based on the fully actuated system approach. By integrating the switching signal information into the event-triggered mechanism (ETM), a mode-dependent event-triggered controller is designed to save communication resources. In addition, neural network is used to approximate the unknown nonlinear dynamics of the system. By combining the fully actuated system approach with mode-dependent ETM, the computational complexity is reduced. The proposed scheme guarantees that all the signals in the closed-loop system remain bounded. Finally, the effectiveness of the proposed control scheme is proved by example.

关键词： Switched systems Adaptive systems Backstepping Switches Artificial neural networks Control systems nonlinear dynamical systems

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nonlinear dynamics of sole ground-state emitting quantum dot laser subject to optical injection 8

Nonlinear dynamics of sole ground-state emitting quantum dot...

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conference on Quantum and nonlinear Optics VIII

作者： Zhang, Ding-Mei Jiang, Zai-Fu Deng, Yan-Lin Li, Yan-Li Yang, Wen-Yan Xiong, Ze-Ben Jingchu Univ Technol Sch Math & Phys Jingmen 448000 Hubei Peoples R China Chongqing Univ Sci & Technol Sch Phys Chongqing 401331 Peoples R China

ISBN: (数字)9781510646605

ISBN: (纸本)9781510646605;9781510646599

Based on the three-energy level exciton model of the quantum dot lasers (QDLs), the nonlinear dynamics of the sole ground-state emitting QDL (GS-QDL) under external optical injection is numerically studied. The results show that the GS-QDL can generate period-one, period-two, multi-period, chaotic pulse and injection locking states under suitable injection parameters. By analyzing the distribution of these dynamic states in the injection parameter space, it is found that the period-one state and injection locking state occupy a large area, but the region of the complex dynamics is relatively small Moreover, the complexity of the chaotic signals generated by the GS-QDL is quantified by the permutation entropy calculation. The results show that the complexity of the chaotic signals is less than 0.90, which indicates that the GS-QDL is low sensitivity to external optical injection. The GS-QDL can be used in isolator-free photonic integrated circuits.

关键词： nonlinear dynamics quantum dot laser optical injection chaos

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Adaptive Command Filtered Backstepping Control of Connected Vehicles with nonlinear Disturbances

Adaptive Command Filtered Backstepping Control of Connected ...

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Chinese Control and Decision conference, CCDC

作者： Yixuan Li Shixi Wen Yuan Zhao School of Information and Engineering Dalian University Dalian China

This paper investigates the problem of adaptive control of connected vehicles subject to uncertain nonlinearity. A third-order nonlinear error model is established, which considers the effect of nonlinear vehicle dynamics and unknown acceleration disturbances. To deal with the nonlinear dynamics and uncertainty, the command filtering technique is used to design the controller, where the radial basis function neural networks (RBFNNs) is introduced to estimate and compensate for the uncertainty. It is evident that the problem of "explosion of complexity" is solved when the backstepping method is involved. Both the individual vehicle stability and the disturbance string stability can be guaranteed by the designed controller. The effectiveness of the proposed method is illustrated by the numerical simulations.

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Analysis of the nonlinear Multimode Systems Under the Limited Measurement Conditions

Analysis of the Nonlinear Multimode Systems Under the Limite...

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International Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： V. D. Gorodinov M. S. Kuts Department of Plasma Power Plants Bauman Moscow State Technical University Moscow Russian Federation Department of Fundamentals of Machine Design Bauman Moscow State Technical University Moscow Russian Federation

Despite advancements in the numerical methods used to simulate the complex systems, structural damping simulation remains debated due to its complexity. Hybrid models are often using the experimentally determined damping, challenging in the nonlinear dynamics, where the conventional methods fail. The Hilbert Transform assesses linear and nonlinear systems, but struggles with the polymodal signals. To address this problem, the paper proposes to combine the Hilbert Transform with the Singular Spectrum Analysis enabling mode extraction out of the limited data. The paper explores these methods for analyzing free decay in the multi-degree-of-freedom systems and introduces an algorithm for the nonlinear polymodal systems. Numerical tests using an artificial signal with the nonlinear damping demonstrate the proposed approach effectiveness in identifying modal parameters for the nonlinear systems.

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Trajectory Tracking Control of the Compass-Type Bipedal Robot Gait via an Improved PD plus Controller 5

Trajectory Tracking Control of the Compass-Type Bipedal Robo...

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5th IEEE International conference on Advanced Systems and Emergent Technologies (IC_ASET)

作者： Added, Essia Gritli, Hassene Belghith, Safya Univ Tunis El Manar Robot Lab Informat & Complex Syst RISC Lab LR16ES07 Natl Engn Sch Tunis Tunis 1002 Tunisia Univ Carthage Higher Inst Informat & Commun Technol Tunis 1164 Tunisia

ISBN: (纸本)9781665427357

This work focuses on the stabilization of the passive dynamic walking gait of the compass-type bipedal robot. Such walker robot is a 2-DOF biped that descends an inclined surface without any actuators. Its bipedal walking is modeled by a complex system, which is characterized by a nonlinear dynamics with impulse effects. We show the complexity of the bipedal walk by analyzing the bifurcation diagrams which reveal the existence of undesirable phenomena such as different bifurcation types and chaos. In order to properly imitate human locomotion, the chaotic bipedal walking of the compass robots walkers should be transformed into a one-periodic stable behavior. Hence, to achieve this goal, we propose an improved PD+ control law, which is based on the PD controller and the gravity compensation. Finally, and via some simulations, we demonstrate that the bipedal walking is controlled and hence chaos is suppressed.

关键词： Compass-gait bipedal robot Passive walking dynamics Chaos complexity Trajectory tracking Improved PD plus controller

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