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Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments

time. At first, it reviews probabilistic search algorithms that have been used for dealing with the minimum time search (MTS) problem, and;

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Path Planning for Vehicles Operating in Uncertain 2D Environments

developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable;

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Cooperative Coverage Control of Multi-Agent Systems and its Applications

This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications;

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Uncertain Optimal Control

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value;

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Cooperative Tracking Control and Regulation for a Class of Multi agent Systems

, the results are extended to multiple leaders, and cooperative containment control for uncertain multi-agent systems is addressed. Given its;

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Unmanned Aircraft Systems

response, search and rescue, etc., is obvious. Despite the tremendous progress in UAS, there are still major challenges and obstacles to be;

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Parallel Problem Solving from Nature -- PPSN XIV

swarm intelligence; dynamic, uncertain and constrained environments; genetic programming; multi-objective, many-objective and multi-level;

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Algorithms Illuminated (Part 3)

spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, shortest paths, optimal search trees).;

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AI based Robot Safe Learning and Control

, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments;

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Decomposition-Based Evolutionary Optimization in Complex Environments

Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable;

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Soft Numerical Computing in Uncertain Dynamic Systems

investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and;

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Dynamic and Stochastic Multi-Project Planning

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the;

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Dynamic Properties of Concrete Under Multi-Axial Loading

multi-hazard environments in recent years. Understanding the behaviour of concrete under earthquake and blast loads becomes more urgent and;

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Unmanned Aircraft Systems

applications, recent regulatory changes around the world are leading to an explosion of interest and wide-ranging new applications for UAS in civil;

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Unmanned Aerial Systems

point-of-view of dynamic modeling, system analysis, optimization, control, communications, 3D-mapping, search and rescue, surveillance, farmland;

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Drones in the U.S.

legislation. This book provides a primer on privacy issues related to various UAS operations, both public and private, including an overview;

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Unmanned Aircraft Systems

Unmanned Aircraft Systems (UAS) have seen unprecedented levels of growth during the last decade in both military and civilian domains. It;

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Advances In Analysis And Control Of Time-delayed Dynamical Systems

time delay, bifurcations, stochastic dynamics and control, delayed Hamiltonian systems, uncertain dynamic systems with time delay, and;

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Real-Time Expert Systems Computer Architecture

interaction with dynamic environments, control and monitoring applications for example. Merging these two technologies will yield intelligent systems;

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Teamwork In Multiagent Systems

human beings. Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents' attitudes and their complex;

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Small-Format Aerial Photography and UAS Imagery

Small Format Aerial Photography and UAS Imagery: Principles, Techniques and Geoscience Applications, Second Edition, provides basic and;

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Simulated Evolution and Learning

developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm;

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Modern Methods for Business Research

generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location;

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Optimal Control Theory

is implemented by applying both Pontryagin's minimum principle and dynamic programming. The book also analyzes the discrete-time version for all;

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Optimal Control Theory

is implemented by applying both Pontryagin's minimum principle and dynamic programming. The book also analyzes the discrete-time version for all;

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Mathematical Optimization Terminology

Mathematical Optimization Terminology takes into account multi-objective method considering the problems related to optimization in case;

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Embedded Mechatronics System Design for Uncertain Environments

System Design for Uncertain Environments has been prepared for those who seek to easily develop and design embedded systems for control purposes;

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