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This book is a reprint of the Special Issue “Intelligent Autonomous Decision-Making and Cooperative Control Technology of High-Speed Vehicle Swarms”,which was published in Applied Sciences.
hypersonic vehicle --- steady-state cruise --- aircraft parameter --- neural network --- cooperative guidance --- model prediction control --- multi-missile cooperative control --- multi-constraint cooperative guidance --- distributed control --- MAS --- flight control --- fixed-wing UAV --- UAV swarm formation --- distributed ad hoc network --- consistency theory --- formation obstacle avoidance --- multi-UAV --- deep deterministic policy gradient --- cooperative penetration --- dynamic-tracking-interceptor component --- swarm control --- distributed swarm --- dynamic task planning --- task assignment --- event-trigger --- UAV–UGV --- cooperative engagement --- optimal control --- time-varying output formation --- formation keeping --- n/a --- UAV-UGV
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This book is a reprint of the Special Issue “Intelligent Autonomous Decision-Making and Cooperative Control Technology of High-Speed Vehicle Swarms”,which was published in Applied Sciences.
Technology: general issues --- History of engineering & technology --- hypersonic vehicle --- steady-state cruise --- aircraft parameter --- neural network --- cooperative guidance --- model prediction control --- multi-missile cooperative control --- multi-constraint cooperative guidance --- distributed control --- MAS --- flight control --- fixed-wing UAV --- UAV swarm formation --- distributed ad hoc network --- consistency theory --- formation obstacle avoidance --- multi-UAV --- deep deterministic policy gradient --- cooperative penetration --- dynamic-tracking-interceptor component --- swarm control --- distributed swarm --- dynamic task planning --- task assignment --- event-trigger --- UAV-UGV --- cooperative engagement --- optimal control --- time-varying output formation --- formation keeping
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The Special Issue book focuses on highlighting current research and developments in the automation and control field for autonomous systems as well as showcasing state-of-the-art control strategy approaches for autonomous platforms. The book is co-edited by distinguished international control system experts currently based in Sweden, the United States of America, and the United Kingdom, with contributions from reputable researchers from China, Austria, France, the United States of America, Poland, and Hungary, among many others. The editors believe the ten articles published within this Special Issue will be highly appealing to control-systems-related researchers in applications typified in the fields of ground, aerial, maritime vehicles, and robotics as well as industrial audiences.
Technology: general issues --- History of engineering & technology --- neuron PID --- Kalman filtering --- omnidirectional mobile robot --- implementations --- anti-windup --- fault tolerance --- reconfigurable control --- Maglev --- neural networks --- artificial intelligence --- unmanned tracked vehicle --- inertial parameters --- vehicle-terrain interaction --- identification --- recursive least square with exponential forgetting --- generalized Newton–Raphson --- Unscented Kalman Filter --- lane keeping control (LKC) --- non-smooth finite-time control --- previewed tracking --- error weight superposition --- electric vehicle (EV) --- ODD-based AD function design --- path tracking --- path planning --- software architecture --- interface design --- autonomous vehicle --- advanced driver-assistance system --- LPV approach --- robust control --- cruise control --- semi-active suspension control --- passenger comfort --- automated vehicles --- ADAS/AD functions --- C-ITS --- IVIM --- infrastructure assistance --- routing recommendations --- autonomous driving --- active learning --- formal methods --- model-based engineering --- automata learning --- unmanned vehicle --- nonlinear model prediction controller --- trajectory tracking --- outdoor field test --- vehicle following --- path following --- splines --- spline approximation --- n/a --- generalized Newton-Raphson
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This book provides a first synthetic view of an emerging area of ecology and biogeography, linking individual- and population-level processes to geographic distributions and biodiversity patterns. Problems in evolutionary ecology, macroecology, and biogeography are illuminated by this integrative view. The book focuses on correlative approaches known as ecological niche modeling, species distribution modeling, or habitat suitability modeling, which use associations between known occurrences of species and environmental variables to identify environmental conditions under which populations can be maintained. The spatial distribution of environments suitable for the species can then be estimated: a potential distribution for the species. This approach has broad applicability to ecology, evolution, biogeography, and conservation biology, as well as to understanding the geographic potential of invasive species and infectious diseases, and the biological implications of climate change. The authors lay out conceptual foundations and general principles for understanding and interpreting species distributions with respect to geography and environment. Focus is on development of niche models. While serving as a guide for students and researchers, the book also provides a theoretical framework to support future progress in the field.
Niche (Ecology). --- Niche (Ecology) --- Biogeography. --- Biogeography --- Mathematical models. --- Niche écologique --- Biogéographie --- Modèles mathématiques --- Microhabitat --- Biotic communities --- Competition (Biology) --- Ecology --- Habitat (Ecology) --- Areography (Biology) --- Geographical distribution of animals and plants --- Species --- Species distribution --- Biology --- Geography --- Geographical distribution --- Mathematical models --- BAM diagram. --- Eltonian Noise Hypothesis. --- Eltonian niche. --- Grinnellian niche. --- absence data. --- algorithm. --- ancillary data. --- biodiversity. --- biogeography. --- biotic interactions. --- biotically reduced niche. --- climate change. --- commission error. --- conservation biology. --- conservation planning. --- conservation reserve network planning. --- data preparation. --- data quality. --- disease distribution. --- disease ecology. --- disease transmission risk. --- disease transmission. --- distributional area. --- distributional ecology. --- diversification. --- ecological niche evolution. --- ecological niche modeling. --- ecological niche. --- ecology. --- environmental data. --- environmental space. --- epidemiology. --- evolutionary ecology. --- extinction risk. --- extrapolation. --- feedback loop. --- geographic distribution. --- geographic space. --- geography. --- habitat suitability modeling. --- hypervolume. --- infection. --- invasive species. --- macroecology. --- model calibration. --- model evaluation. --- model performance. --- model prediction. --- model projection. --- model significance. --- model. --- niche concept. --- niche conservatism. --- niche evolution. --- niche models. --- niche. --- nonequilibrium distribution. --- nonnative species. --- occupied distributional area. --- overfitting. --- pathogens. --- population biology. --- populations. --- potential distributional area. --- predictability. --- primary occurrence data. --- resolution. --- risk mapping. --- sampling bias. --- scenopoetic variables. --- sensitivity. --- sisterгpecies pairs. --- spatial extent. --- species distribution modeling. --- species distribution. --- species invasions. --- species limit. --- species occurrence. --- species reintroduction. --- statistical theory. --- transferability. --- unknown species.
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