In most cases, tool impact paths for surface treatment (painting, milling, laser hardening, etc.) represent a set of continuous spatial curves lying on the surface to be treated. For uniform processing, adjacent curve...
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The proceedings contain 15 papers. The topics discussed include: optimizing network economics problem with adaptive algorithms for variational inequalities;simulated datasets generator for testing data analytics metho...
The proceedings contain 15 papers. The topics discussed include: optimizing network economics problem with adaptive algorithms for variational inequalities;simulated datasets generator for testing data analytics methods;simulated datasets generator for testing data analytics methods;dynamic rebalancing of cryptocurrency portfolio based on forecasted technical indicators and random forest method;automation and management in operating systems: the role of artificial intelligence and machine learning;regularity of geotechnological formation of the area of weakened connections in the rock mass;simulation the impact of time-delay in Richardson arms race models;Adomian decomposition method in the theory of nonlinear periodic boundary value problems with delay;approximation of systems with delay and their application;and control actions using voice and gestures at the level of the operating system.
The problems of dynamic positioning (DP) of autonomous underwater vehicles (AUV) with a control system are considered. The image-based visual servo control (IBVS) architecture for the DP equipped with a monocular vide...
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Constrained multiobjective optimization problems (CMOPs) are prevalent in various real-world applications, presenting a formidable challenge to existing evolutionary algorithms when faced with intricate constraints. W...
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In order to realize the high-precision variable direction cable control of the electro-optical unmanned system in non-electromagnetic remote control, a cable traction device measurement and control with characteristic...
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The proceedings contain 26 papers. The special focus in this conference is on Simulation of Adaptive Behavior. The topics include: Vector-Based Navigation Inspired by Directional Place Cells;a Behavior-Based Mode...
ISBN:
(纸本)9783031715327
The proceedings contain 26 papers. The special focus in this conference is on Simulation of Adaptive Behavior. The topics include: Vector-Based Navigation Inspired by Directional Place Cells;a Behavior-Based Model of Foraging Nectarivorous Echolocating Bats;benefit of Varying Navigation Strategies in Robot Teams;no-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots;cuttleBot: Emulating Cuttlefish Behavior and Intelligence in a Novel Robot Design;the Emergence of a complex Representation of Touch Through Interaction with a Robot;analyzing Multi-robot Leader-Follower Formations in Obstacle-Laden Environments;spatio-Temporal Dynamics of Social Contagion in Bio-inspired Interaction Networks;behavioural Contagion in Human and Artificial Multi-agent systems: A Computational modeling Approach;transient Milling Dynamics in Collective Motion with Visual Occlusions;extended Swarming with Embodied Neural Computation for Human control over Swarms;bio-Inspired Agent-Based Model for Collective Shepherding;DaNCES: A Framework for Data-inspired Agent-Based Models of Collective Escape;the Role of Energy Constraints on the Evolution of Predictive Behavior;influence of the Costs of Acquisition of Private and Social Information on Animal Dispersal;integrated Information in Genetically Evolved Braitenberg Vehicles;neural Chaotic Dynamics for Adaptive Exploration control of an Autonomous Flying Robot;non-instructed Motor Skill Learning in Monkeys: Insights from Deep Reinforcement Learning Models;memory-Feedback controllers for Lifelong Sensorimotor Learning in Humanoid Robots;extracting Principles of Exploration Strategies with a complex Ecological Task;the Cost of Behavioral Flexibility: Reversal Learning Driven by a Spiking Neural Network;"Value" Emerges from Imperfect Memory;the Role of Theory of Mind in Finding Predator-Prey Nash Equilibria;nonverbal Immediacy Analysis in Education: A Multimodal Computational Model.
Compared with conventional redundant robots, soft continuum robots (simply termed soft robots or continuum robots) are more flexible, so they have broad application prospects in the future. Although there are a few st...
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In this paper, the stabilization issue is investigated for stochastic delay systems via event-triggered delayed impulsive control (ETDIC) strategy. For the system model, both the delay in stochastic differential equat...
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Numerical prediction is an important application field of machine learning. However, the current mainstream relating to deep network solutions can be computationally taxing, whereas fuzzy systems may also prove to be ...
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ISBN:
(数字)9781665467100
ISBN:
(纸本)9781665467100
Numerical prediction is an important application field of machine learning. However, the current mainstream relating to deep network solutions can be computationally taxing, whereas fuzzy systems may also prove to be inefficient for high dimensional systems. Combining the notion of complex-valued neural network and the Wang-Mendel (WM) fuzzy algorithm, we propose a new complex-valued Wang-Mendel (CVWM) method, which reduces the rule-base of fuzzy systems to the scale of its square root. Further, by introducing the concept of a hierarchical fuzzy system, a deep complex-valued single-iteration fuzzy system (DCVSF) that can be trained with only one iteration and can effectively process high-dimensional data is also elicited. In addition, for sparse data, t-distributed stochastic neighbor embedding (t-SNE) dimensionality reduction is introduced to increase data density. The experimental results show that both CVWM and DCVSF exhibit competitive nonlinear modeling capabilities.
We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require...
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ISBN:
(纸本)9781728196817
We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require initiating contact with the environment, such as locomotion and manipulation, require a priori mode schedules or are so computationally complex that they cannot run at real-time rates. We present a method, based on the alternating direction method of multipliers (ADMM), capable of high-speed reasoning over potential contact events. Via a consensus formulation, our approach enables parallelization of the contact scheduling problem. We validate our results on three numerical examples, including two frictional contact problems, and physical experimentation on an underactuated multi-contact system.
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