Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
Xu Han – författare
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15 produkter
15 produkter
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Häftad, Engelska, 2023
262 kr
Skickas inom 5-8 vardagar
- Inbunden, Engelska, 2020
1 623 kr
Skickas inom 10-15 vardagar
This book focuses on numerical simulation-based design theory and methods inmechanical engineering. The simulation-based design of mechanical equipmentinvolves considerable scientific challenges including extremely complex systems,extreme working conditions, multi-source uncertainties, multi-physics coupling, andlarge-scale computation. In order to overcome these technical difficulties, this booksystematically elaborates upon the advanced design methods, covering high-fidelitysimulation modeling, rapid structural analysis, multi-objective design optimization,uncertainty analysis and optimization, which can effectively improve the designaccuracy, efficiency, multi-functionality and reliability of complicated mechanicalstructures.This book is primarily intended for researchers, engineers and postgraduate studentsin mechanical engineering, especially in mechanical design, numerical simulation andengineering optimization. - E-bokEngelska, 2020
2 044 kr
Läs direkt efter köp
This book focuses on numerical simulation-based design theory and methods inmechanical engineering. The simulation-based design of mechanical equipmentinvolves considerable scientific challenges including extremely complex systems,extreme working conditions, multi-source uncertainties, multi-physics coupling, andlarge-scale computation. In order to overcome these technical difficulties, this booksystematically elaborates upon the advanced design methods, covering high-fidelitysimulation modeling, rapid structural analysis, multi-objective design optimization,uncertainty analysis and optimization, which can effectively improve the designaccuracy, efficiency, multi-functionality and reliability of complicated mechanicalstructures.This book is primarily intended for researchers, engineers and postgraduate studentsin mechanical engineering, especially in mechanical design, numerical simulation andengineering optimization. - Häftad, Engelska
230 kr
Skickas inom 3-6 vardagar
- Inbunden, Engelska, 2020
1 516 kr
Skickas inom 10-15 vardagar
This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods. - E-bokEngelska, 2020
1 886 kr
Läs direkt efter köp
This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods. - Häftad, Engelska, 2021
1 516 kr
Skickas inom 10-15 vardagar
This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods. - Inbunden, Engelska, 2026
1 857 kr
Kommande
Unmanned equipment and systems, represented by Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs), are a promising area of research. Based on intelligence and informatics, they can efficiently transmit tactical battlefield information and provide real-time network access for new equipment updates, which is an effective way to navigate complex environments and enhance synergy capabilities. Unmanned aerial vehicles have maneuverability advantages. Unmanned surface equipment, represented by unmanned ships, has advantages in terms of carrying capacity and long-term self-sustainment. Collaborative control and planning of multiple unmanned platforms is a popular topic in intelligent unmanned system control research. In the context of informationization, network, and system confrontation, the coordination of multiple unmanned platforms is used to enable information and resource sharing throughout the entire unmanned system. This maximizes the utilization of their respective advantages and improves the operational effectiveness of the entire system, which has significant theoretical and practical value. Based on years of research, this paper studies the key theories and technical problems of cooperative path planning and formation control for multiple unmanned platforms, using UAVs and USVs as examples, and provides corresponding control algorithms and simulations.
