Time Series Predictive Control in Robotics

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Time Series Predictive Control in Robotics | 24.17 MB

Title: Time Series Predictive Control in Robotics
Author: LIU, Hui;
Category: Statistics, Mathematics, Business & Finance
Language: English | 232 Pages | ISBN: 9781040682395

Description:
Modeling, Dynamics and Control approaches for Modern Robotics explores and investigates various theoretical and practical principles related to modeling, dynamics, and control in robotics. The objective is to enhance the understanding and development of robotic systems by applying these principles. Through accurate representations of robot kinematics and dynamics, researchers aim to effectively analyze and predict robot behavior. This title focuses on designing algorithms and control strategies for precise and efficient robotic system management.Additionally, the book delves into sensory feedback and perception systems for robots, advancements in autonomous vehicles, industrial automation, humanoid robots, and medical robotics, showcasing the integration of technology and computing power in modern applications. The study of control approaches and the development of optimized performance schemes are highlighted, demonstrating the significance of stability and adaptive response in changing environments. This comprehensive examination underscores the evolution and complexity of robotic systems, emphasizing their growing role in various sectorsIncludes advanced methodologies for various robotics control issueDeals with recent research problems in the areas of robotics, control systems, dynamical modeling, and optimization - Presents advanced techniques of motion control and path planning of mobile robotCovers chapters that are lucidly illustrated with numerical examples and simulationDiscusses details of applications and future research areas

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