Advances in Nonlinear Dynamics, Volume II : Proceedings of the Third International Nonlinear Dynamics Conference (NODYCON 2023) / / edited by Walter Lacarbonara

• Record Nr.: UNINA9910855372603321
• Autore: Lacarbonara Walter
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 9783031506390; 3031506391
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (290 pages)
• Collana: NODYCON Conference Proceedings Series, , 2730-7697
• Disciplina: 531
• Soggetti: Plasma waves; Multibody systems; Vibration; Mechanics, Applied; Dynamics; Nonlinear theories; System theory; Waves, instabilities and nonlinear plasma dynamics; Multibody Systems and Mechanical Vibrations; Applied Dynamical Systems; Engineering Mechanics; Complex Systems
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Preface for Volume 2: Nonlinear Dynamics and Control -- Contents -- Part I Control of Nonlinear Systems -- Super-Twisting Sliding Mode Control with Accelerated Gradient Descent Method for Synchronous Reluctance Motor Control System -- 1 Introduction -- 2 Conventional Control System of SynRM -- 2.1 Mathematical SynRM Model -- 2.2 Conventional SynRM Control System -- 2.3 Nonlinear Characteristics of SynRM -- 3 Proposed Speed and Current Vector Control -- 3.1 STSMC for Speed Control -- 3.2 Searching Optimal Current Angle Using AGDM -- 4 Experimental ; Results -- 5 Conclusions -- References -- Vibration Control of Time-Varying Nonlinear Systems -- 1 Introduction -- 2 Dynamics of Time-Varying Nonlinear System -- 2.1 Quasi-static Analysis -- 3 Vibration Control -- 4 Numerical Example: Overhead Crane with Simultaneous Traveling and Hoisting Motions -- 4.1 Linear Hoisting and Lowering Operations -- 4.2 Quadratic Hoisting and Lowering Operations -- 5 Conclusion -- References -- Power Consumption Improvement in Position and Attitude Control of Spacecraft Using Electromagnetic Force Assist -- 1 Introduction and Motivation -- 1.1 Overview of RINGS -- 1.2 State-Space Model of the 3-DOF motion platform -- 2 Controller Design -- 2.1 Electromagnetic Assist Using Sliding Mode Control (SMC) -- 2.2 Electromagnetic Assist Using Feedforward Control (FFC) -- 3 Assessment of Power Consumption Improvement When Using Electromagnetic Force Assist -- 3.1 Discussion -- 4 Conclusions -- References -- Some Comments on Nonlinear Dynamic Behavior and Control of a 3rd-order Duffing Oscillator with External Force -- 1 Introduction -- 2 Mathematical Modeling -- 2.1 Nonlinear Dynamics Analysis -- 3 OLFC Control Design -- 4 Conclusions -- References -- Motion Control of a Pendulum via Magnetic Interaction -- 1 Introduction -- 2 Methodology.; 2.1 Dynamic System and Equation of Motion -- 2.2 Damping Force -- 2.3 Electromagnetic Force -- 2.4 PD Control -- 3 Results -- 4 Conclusions -- References -- Image-Based Aerial Grasping of a Moving Target Using Model Predictive Control -- 1 Introduction -- 2 Mathematical Modeling -- 3 MPC-NPLT Formulation -- 4 Simulation and Results -- 5 Conclusion -- References -- Efficiency Study of the Non-instantaneous Double Support Phase in HZD Controlled Bipedal Robot -- 1 Introduction -- 2 Robot Model and Control Design -- 3 Efficiency and Stability Study -- 3.1 Comparison of Controllers with Non-instantaneous DSP -- 3.2 Comparison of Non-instantaneous and Instantaneous DSP -- 4 Conclusion -- References -- Aeroelastic Limit Cycle Oscillations Due to Multi-element Control Surface with Freeplay -- 1 Introduction -- 2 Freeplay Inclusion in CS and Tab -- 3 Results -- 4 Final Remarks -- Appendix A Equations of Motion for the Different Scenarios -- References -- The Complete Bifurcation Analysis of Buck Converter Under Current Mode Control -- 1 Introduction -- 2 The Model of the Buck Converter Under Current-Mode Control -- 3 The Complete Bifurcation Analysis of the Converter -- 3.1 Methodology and Tools -- 3.2 Main Parameters of the Buck Converter -- 3.3 Bifurcation Analysis -- 4 Conclusions -- References -- Reversing Along a Curved Path by an Autonomous Truck-Semitrailer Combination -- 1 Introduction -- 2 Mechanical Model -- 2.1 Equations of Motion -- 2.2 Path Following -- 3 Control Algorithm -- 4 Stability Analysis -- 4.1 Linearization -- 4.2 Effect of Curvature -- 5 Simulation -- 6 Conclusion -- References -- Part II Synchronization -- Synchronization of Fractional Discrete-Time Complex Networks with Time Delays via Event-Triggered Strategy -- 1 Introduction -- 2 Preliminaries -- 3 System Models and Problem Formulation -- 4 Main Results -- 5 Simulation.; 6 Conclusion -- References -- Mirroring of Synchronization in Multilayer Configuration of Kuramoto Oscillators -- 1 Introduction -- 2 Mathematical Model -- 3 Analytical Insights -- 4 Results for L=1, 2 -- 4.1 Shift in Synchronization Point -- 5 Summary -- References -- Synchronization Based on Intermittent Sampling: PWL Multiscroll System -- 1 Introduction -- 2 Preliminaries -- 2.1 Coupling Scheme -- 3 Problem Statement -- 4 Results -- 5 Discussion and Conclusion -- References -- Part III Nonlinear Vibration Control -- Hoist Stabilization Design Method -- 1 Introduction -- 2 End-User Requirements and ; Constraints -- 3 System Design and Construction Plan -- 4 Results -- 5 Summary and Future Work -- References -- The Exact Closed-Form Expressions for Optimum Inertial Amplifier Coupled Nonlinear Friction Bearing Isolators -- 1 Introduction -- 2 Structural Model and Equations of Motion -- 3 H2 Optimization -- 3.1 Inertial Amplifier Coupled Nonlinear Friction Bearing Isolators -- 3.2 Traditional Nonlinear Friction Bearing Isolators -- 4 Robustness of Nonlinear Friction Bearing Isolators -- 5 Dynamic Response Evaluation -- 5.1 Frequency Domain Responses -- 5.2 Time History Analysis -- 6 Summary and Conclusions -- References -- Control of an Acoustic Mode by a Digitally Created Nonlinear Electroacoustic Absorber at Low ExcitationLevels: Experimental Results -- 1 Introduction -- 2 The Electroacoustic Absorber for Noise Control -- 2.1 The Concept of Impedance Control -- 2.2 Working Principle of the Nonlinear Control -- 3 Experimental Results -- 3.1 Open-Field Experimental Results -- 3.2 Control of an Acoustic Mode -- 4 Conclusion -- References -- Preliminary Numerical Analysis of the Vibro-Impact Isolation Systems Under Seismic Excitations -- 1 Introduction -- 2 Model and Equations of Motion -- 3 Optimal Design of Vibro-Impact Isolation Systems -- 4 Results.; 5 Conclusions and Future Developments -- References -- Maneuvering a Stick in Three-Dimensional Space Using Impulsive Forces -- 1 Introduction -- 2 Problem Description -- 3 Hybrid Dynamic Model -- 3.1 Poincaré Map in Inertial Reference Frame -- 3.2 Poincaré Map in the Reference Frame of the Juggler -- 4 Control Design -- 4.1 Steady-State Dynamics -- 4.2 Hybrid Orbit Stabilization -- 4.3 Time Variation of the Hybrid Orbit -- 5 Simulations -- 5.1 Changing the Height of the Orbit -- 5.2 Increase in Time of Flight -- 5.3 Simultaneous Change in Orbit Parameters Δα* and δ* -- 6 Conclusions -- References -- Mitigating Vibration Levels of Mistuned Cyclic Structures by Use of Contact Nonlinearities -- 1 Introduction -- 2 Cyclic Symmetry Properties -- 2.1 Preliminaries on the Property of Cyclic Symmetry -- 2.2 Coupling Due to Nonlinear Forces -- 2.3 Coupling Due to Random Mistuning -- 3 Reduction Methodologies -- 3.1 Substructuring Nonlinear Cyclic Reduction -- 3.2 Accelerated Monte-Carlo Simulation -- 4 Results -- 4.1 Mechanical System Under Study -- 4.2 Statistical Study -- 5 Conclusion -- References -- Part IV Sensors and Actuators -- Evaluating the Shape of a Deformed PVDF Wearable Pressure Sensors by Analyzing an Acoustic Traveling Wave -- 1 Introduction -- 2 Geometry -- 3 Simulation -- 3.1 The Parameters in COMSOL -- 3.2 Material Orientation -- 4 Results and Discussion -- 4.1 Results for Zero Orientation -- 4.2 Effect of Curvature -- 5 Conclusion -- References -- Sensing Sound with Electrospun Piezo Materials on a 3D-Printed Structure -- 1 Introduction -- 2 Design and Fabrication of the Hybrid Functional Cell -- 3 Results and Discussion -- 4 Conclusions -- References -- Part V Passive Energy Damping -- Free Balls in a Non-rotating Track Can Mitigate Rotor Vibration -- 1 Introduction -- 2 Model Description -- 3 Experimental Investigation.; 3.1 Primary Rotor System -- 3.2 Design and Fabrication of the Modified NES -- 3.3 Methodology -- 4 Results and Discussion -- 5 Conclusions -- References -- Vibro-Impact NES: Nonlinear Mode Approximation Using the Multiple Scales Method -- 1 Introduction -- 2 Model Description -- 3 Multiple Scales Method -- 4 Nonlinear Mode Identification -- 5 Numerical Experiments and Simulation Results -- 6 Conclusion -- References -- Vibration Damping in Fiber-Reinforced Bistable Composites with Magnetic Particles -- 1 Introduction -- 2 Material Design -- 3 Experimental -- 3.1 Materials and Fabrication -- 3.2 Test Setup -- 4 Result and Discussion -- 5 Conclusions -- References -- Magnetic Field and Ferrite Particles Interaction for ; Membranes with Augmented Shock-Absorption Capability -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Numerical Study -- 3.2 Experimental Study: Microparticles' Agglomerates -- 3.3 Magnetized Membrane -- 4 Conclusions -- References -- Index.
• Sommario/riassunto: This volume aims to present cutting-edge methodologies and approaches bridging the gap between nonlinear dynamics and control, encompassing a diverse array of experimental, analytical, and computational strategies. Topics include: Exploration of nonlinear effects on vibration control systems Passive, semi-active, and active control methods for structures and systems Synchronization phenomena Integration of robotics and human-machine interactions within dynamic control systems Control strategies for network dynamics Event-triggered control strategies Control with time delays Multi-agent systems, leader-follower dynamics Vibro-impact systems.

Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part X / / edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

• Record Nr.: UNINA9910887893203321
• Autore: Wand Michael
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 3-031-72359-7
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (469 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 15025
• Altri autori (Persone): MalinovskáKristína; SchmidhuberJürgen; TetkoIgor V
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Computers; Application software; Computer networks; Artificial Intelligence; Computing Milieux; Computer and Information Systems Applications; Computer Communication Networks
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- Workshop: AI in Drug Discovery. -- Combinatorial Library Neural Network (CoLiNN) for Combinatorial Library Visualization without Compound Enumeration. -- De novo Drug Design – Do We Really Want To Be “Original”? -- Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra using Gradient Boosting. -- Neural SHAKE: Geometric Constraints in Graph Generative Models. -- Scaffold Splits Overestimate Virtual Screening Performance. -- Target-Aware Drug Activity Model: A deep learning approach to virtual HTS. -- Workshop: Reservoir Computing. -- Effects of Input Structure and Topology on Input-Driven Functional Connectivity Stability. -- Non-dissipative Reservoir Computing approaches for time-series classification. -- Onion Echo State Networks A Preliminary Analysis of Dynamics. -- Oscillation-driven Reservoir Computing for Long-Term Replication of Chaotic Time Series. -- Prediction of reaching movements with target information towards trans-humeral prosthesis control using Reservoir Computing and LSTMs. -- Reducing Reservoir Dimensionality with Phase Space Construction for Simplified Hardware Implementation. -- Restricted Reservoirs on Heterogeneous Timescales. -- Special Session: Accuracy, Stability, and Robustness in Deep Neural Networks. -- Clean-image Backdoor Attacks. -- MADE: A Universal Fine-tuning Framework to Enhance Robustness of Machine Reading Comprehension. -- Robustness of biologically grounded neural networks against image perturbations. -- Some Comparisons of Linear and Deep ReLU Network Approximation. -- Unlearnable Examples Detection via Iterative Filtering. -- Special Session: Neurorobotics. -- Action recognition system integrating motion and object detection. -- Active Vision for Physical Robots using the Free Energy Principle. -- Learning Low-Level Causal Relations using a Simulated Robotic Arm. -- Modular Reinforcement Learning In Long-Horizon Manipulation Tasks. -- Robotic Model of the Mirror Neuron System: a Revival. -- Self-organized attractoring in locomoting animals and robots: an emerging field. -- Special Session: Spiking Neural Networks. -- A Multi-modal Spiking Meta-learner With Brain-inspired Task-aware Modulation Scheme. -- Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network. -- Learning in Recurrent Spiking Neural Networks with Sparse full-FORCE Training. -- Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices. -- Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. -- On Reducing Activity with Distillation and Regularization for Energy Ecient Spiking Neural Networks. -- Temporal Contrastive Learning for Spiking Neural Networks.
• Sommario/riassunto: The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel ; architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.