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A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work.
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Computer simulation --- System design --- Simulation par ordinateur --- Systèmes, Conception de --- Systèmes, Conception de --- MATLAB --- INFORMATICS --- Dynamic system simulation software --- Simulink --- Technical education --- Monograph --- Computer science. --- Education, Technical --- Education --- Professional education --- Vocational education --- Informatics --- Science
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This volume sheds empirical light on Complex Dynamic Systems Theory (CDST) by providing five sets of analyses of two longitudinal, interactional datasets, involving two dyads exchanging emails over one academic semester. The collective study on CDST is the first of its kind, in that it delves into multiple subsystems of learner language, traversing the domains of morphosyntax, semantics, pragmatics and discourse. The data analyses expose the dynamics of the interactional process, offering evidence of core characteristics of complex dynamic systems: sensitive dependence on initial conditions, interconnectedness of subsystems, the emergence of attractor states over time and variation in and between the individuals. Together, the analyses, each alone an engaging description, capture fine-grained patterns of change over time. More importantly, they demonstrate the impact of the ecosystem on individuals’ use of language. The book offers critical insights relevant to CDST researchers, theorists and empiricists alike, as well as to teachers seeking a nuanced understanding of the learning benefits of computer-mediated interactional activities.
Second language acquisition --- Language and languages --- System theory. --- Systems, Theory of --- Systems science --- Science --- Foreign language study --- Language and education --- Language schools --- Second language learning --- Language acquisition --- Study and teaching. --- Philosophy --- System theory --- #KVHA:Taalkunde --- #KVHA:Taalonderwijs --- #KVHA:Tweede taalonderwijs --- Study and teaching --- Asynchronous interaction. --- CDST. --- Complex Dynamic System Theory. --- Complexity system. --- Computer-mediated dyadic interaction. --- Dynamic system. --- Interlanguage. --- Learner language. --- SLA. --- morphosyntax. --- pragmatics. --- research methodology. --- semantics. --- Language and languages Study and teaching --- Second language acquisition Study and teaching
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This book appeals to scientists, teachers and graduate students in mathematics, and will be of interest for scholars in applied sciences as well, in particular in medicine, biology and social sciences. The models in this connection apply, in particular, to the study of the immune system response and to the predator–prey dynamic. The efficiency of public transport is also considered and blast waves in explosions are studied. Other contributions concern pure mathematics, in particular Pythagorean means, sequences of matrices and Markov chains, and these give evidence of deep links with Symmetry.
Research & information: general --- Mathematics & science --- paradox of enrichment --- prey–predator system --- persistence of predators --- extinction of predators --- blast waves --- non-ideal gas --- Rankine–Hugoniot conditions --- magnetogasdynamics --- dynamic model --- immune system response --- immune cells --- abnormal cells --- nonlinear ordinary differential equations --- stability --- diet --- Aggregation dynamic system --- Discrete system --- Epidemic model --- Cauchy’s interlacing theorem --- Output-feedback control --- Stability --- Antistable/Stable matrix --- onboard comfort level --- Markow chain --- bus passenger occupancy prediction --- Chebyshev inequality --- Tracy-Singh product --- continuous field of operators --- Bochner integral --- weighted Pythagorean mean --- paradox of enrichment --- prey–predator system --- persistence of predators --- extinction of predators --- blast waves --- non-ideal gas --- Rankine–Hugoniot conditions --- magnetogasdynamics --- dynamic model --- immune system response --- immune cells --- abnormal cells --- nonlinear ordinary differential equations --- stability --- diet --- Aggregation dynamic system --- Discrete system --- Epidemic model --- Cauchy’s interlacing theorem --- Output-feedback control --- Stability --- Antistable/Stable matrix --- onboard comfort level --- Markow chain --- bus passenger occupancy prediction --- Chebyshev inequality --- Tracy-Singh product --- continuous field of operators --- Bochner integral --- weighted Pythagorean mean
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This book appeals to scientists, teachers and graduate students in mathematics, and will be of interest for scholars in applied sciences as well, in particular in medicine, biology and social sciences. The models in this connection apply, in particular, to the study of the immune system response and to the predator–prey dynamic. The efficiency of public transport is also considered and blast waves in explosions are studied. Other contributions concern pure mathematics, in particular Pythagorean means, sequences of matrices and Markov chains, and these give evidence of deep links with Symmetry.
Research & information: general --- Mathematics & science --- paradox of enrichment --- prey–predator system --- persistence of predators --- extinction of predators --- blast waves --- non-ideal gas --- Rankine–Hugoniot conditions --- magnetogasdynamics --- dynamic model --- immune system response --- immune cells --- abnormal cells --- nonlinear ordinary differential equations --- stability --- diet --- Aggregation dynamic system --- Discrete system --- Epidemic model --- Cauchy’s interlacing theorem --- Output-feedback control --- Stability --- Antistable/Stable matrix --- onboard comfort level --- Markow chain --- bus passenger occupancy prediction --- Chebyshev inequality --- Tracy-Singh product --- continuous field of operators --- Bochner integral --- weighted Pythagorean mean
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This book appeals to scientists, teachers and graduate students in mathematics, and will be of interest for scholars in applied sciences as well, in particular in medicine, biology and social sciences. The models in this connection apply, in particular, to the study of the immune system response and to the predator–prey dynamic. The efficiency of public transport is also considered and blast waves in explosions are studied. Other contributions concern pure mathematics, in particular Pythagorean means, sequences of matrices and Markov chains, and these give evidence of deep links with Symmetry.
paradox of enrichment --- prey–predator system --- persistence of predators --- extinction of predators --- blast waves --- non-ideal gas --- Rankine–Hugoniot conditions --- magnetogasdynamics --- dynamic model --- immune system response --- immune cells --- abnormal cells --- nonlinear ordinary differential equations --- stability --- diet --- Aggregation dynamic system --- Discrete system --- Epidemic model --- Cauchy’s interlacing theorem --- Output-feedback control --- Stability --- Antistable/Stable matrix --- onboard comfort level --- Markow chain --- bus passenger occupancy prediction --- Chebyshev inequality --- Tracy-Singh product --- continuous field of operators --- Bochner integral --- weighted Pythagorean mean
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The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.
History of engineering & technology --- decision-making --- autonomous navigation --- collision avoidance --- scene division --- deep reinforcement learning --- maritime autonomous surface ships --- internet of things --- crowdsourcing --- indoor localization --- data fusion --- security --- authentication --- Inertial Measurement Units --- road transportation --- traffic signal control --- speed guidance --- vehicle arrival time --- connected vehicle --- unmanned ships --- DDPG --- autonomous path planning --- end-to-end --- at-risk driving --- deep support vector machine --- driver drowsiness --- driver stress --- multi-objective genetic algorithm --- multiple kernel learning --- urban freeway --- hybrid dynamic system --- state transition --- unknown inputs observer --- vehicle density --- maritime vessel flows --- intelligent transportation systems --- deep learning --- automatic license plate recognition --- intelligent vehicle access --- histogram of oriented gradients --- artificial neural networks --- convolutional neural networks --- time-frequency --- Inertial Measurement Unit (IMU) --- road anomalies --- decision-making --- autonomous navigation --- collision avoidance --- scene division --- deep reinforcement learning --- maritime autonomous surface ships --- internet of things --- crowdsourcing --- indoor localization --- data fusion --- security --- authentication --- Inertial Measurement Units --- road transportation --- traffic signal control --- speed guidance --- vehicle arrival time --- connected vehicle --- unmanned ships --- DDPG --- autonomous path planning --- end-to-end --- at-risk driving --- deep support vector machine --- driver drowsiness --- driver stress --- multi-objective genetic algorithm --- multiple kernel learning --- urban freeway --- hybrid dynamic system --- state transition --- unknown inputs observer --- vehicle density --- maritime vessel flows --- intelligent transportation systems --- deep learning --- automatic license plate recognition --- intelligent vehicle access --- histogram of oriented gradients --- artificial neural networks --- convolutional neural networks --- time-frequency --- Inertial Measurement Unit (IMU) --- road anomalies
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This book comprises ten articles covering different aspects of power quality issues in microgrids and distributed generation (DG) systems, including 1) Detection and estimation of power quality; 2) Modeling; 3) Harmonic control for DG systems and microgrids; 4) Stability improvements for microgrids. Different power quality phenomena and solution were studied in the included papers, such as harmonics, resonance, frequency deviation, voltage sag, and fluctuation. From a network point of view, some papers studied the harmonic and stability issues in standalone microgrids which are more likely to cause power quality problems. Other papers discussed the power quality problems in microgrids which are weakly interconnected with the main distribution grid. In view of the published papers, there is a trend that increasingly advanced modeling, analysis, and control schemes were applied in the studies. Moreover, the latest works focus not only on single-unit problems but also multiple units or network issues. Although some of the hot topics are not included, this book covers multiple aspects of the current power quality research frontier, and represents a particularly useful reference book for frontier researchers in this field.
power quality improvement --- differential feedforward --- weak grid --- data testing --- distributed generations --- voltage-source converter --- dynamic frequency support --- coordinated control --- grid-connection/island switching process --- virtual damping --- PV generation --- virtual inertia --- autonomous microgrid --- optimal virtual resistor --- multi-inverter system --- standalone microgrid --- unscented Kalman filter --- HVDC --- voltage fluctuation --- solar photovoltaic system --- nonlinear dynamic system --- state estimation --- voltage stability --- diesel generator --- voltage control --- multi-time scale --- sliding mode control --- power system simulation --- stability analysis --- grid impedance --- modeling method --- shunt inverter --- voltage compensation --- 2nd-order lowpass filter --- virtual synchronous generator --- microgrid --- output impedance --- hybrid energy storage --- grid-connected inverter --- parameter identification --- wind farm --- frequency stability --- harmonic suppression --- current source mode (CSM) --- voltage source mode (VSM) --- stand-alone microgrid --- frequency control --- vector control --- power quality control --- grid-tied inverter --- submarine cables --- line commutated converter --- reference current compensation --- power quality --- series inverter --- impedance enhancement
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Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes that are continuously evolving, yet classical theoretical approaches to the subject leave many important questions unanswered. Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This exciting new technology enables researchers to model competition between several different political parties for the support of voters with widely varying preferences on many different issues. Laver and Sergenti model party competition as a true dynamic process in which political parties rise and fall, a process where different politicians attack the same political problem in very different ways, and where today's political actors, lacking perfect information about the potential consequences of their choices, must constantly adapt their behavior to yesterday's political outcomes. Party Competition shows how agent-based modeling can be used to accurately reflect how political systems really work. It demonstrates that politicians who are satisfied with relatively modest vote shares often do better at winning votes than rivals who search ceaselessly for higher shares of the vote. It reveals that politicians who pay close attention to their personal preferences when setting party policy often have more success than opponents who focus solely on the preferences of voters, that some politicians have idiosyncratic "valence" advantages that enhance their electability--and much more.
Competition --- Political parties. --- Competition (Economics) --- Competitiveness (Economics) --- Economic competition --- Commerce --- Conglomerate corporations --- Covenants not to compete --- Industrial concentration --- Monopolies --- Open price system --- Supply and demand --- Trusts, Industrial --- Parties, Political --- Party systems, Political --- Political party systems --- Political science --- Divided government --- Intra-party disagreements (Political parties) --- Political conventions --- Political aspects --- Simulation methods. --- Economic aspects --- Monte Carlo parameterization. --- Robert Axelrod. --- Voronoi tessellations. --- agent-based model. --- agent-based modeling. --- agent-based models. --- competition. --- competitive spatial location. --- computational geometry. --- computer simulation. --- decision rules. --- decisions rules. --- dynamic multiparty competition. --- dynamic system. --- grid sweeping. --- multiparty competition. --- party competition. --- party leaders. --- party policy. --- policy preferences. --- political parties. --- political party. --- political systems. --- politicians. --- postwar democracy. --- spatial models. --- stochastic processes. --- valence models. --- vote-seeking rules. --- voter behavior. --- voter preferences. --- votes. --- Political sociology --- Political parties
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This volume collects the papers published on the Special Issue “Kinematics and Robot Design I, KaRD2018” (https://www.mdpi.com/journal/robotics/special_issues/KARD), which is the first issue of the KaRD Special Issue series, hosted by the open access journal “MDPI Robotics”. The KaRD series aims at creating an open environment where researchers can present their works and discuss all the topics focused on the many aspects that involve kinematics in the design of robotic/automatic systems. Kinematics is so intimately related to the design of robotic/automatic systems that the admitted topics of the KaRD series practically cover all the subjects normally present in well-established international conferences on “mechanisms and robotics”. KaRD2018 received 22 papers and, after the peer-review process, accepted only 14 papers. The accepted papers cover some theoretical and many design/applicative aspects.
Technology: general issues --- cable driven robot --- performance index --- Wrench Exertion Capability --- snake robot --- snake scale --- scale geometry --- friction ratio --- serpentine motion --- hexapod --- self-motion --- spatial symmetric rolling --- plane-symmetric motion --- Duporcq manipulator --- accuracy analysis --- optimal design --- multi-objective evolutionary algorithms --- NSGA-II --- 6-UCU kind Gough-Stewart platform --- parallel kinematic machine --- kinematic optimisation --- hardware in the loop --- mechatronic design --- manipulators --- trajectory planning --- kinematic constraints --- optimization --- viability --- inverse kinematics --- parallel robot --- reconfigurable joint --- flexible robotics --- mechanism --- kinematics --- Shoenflies-motion generator --- dimensional synthesis --- kinetostatic performances --- conditioning index --- projective angles --- spherical PKM --- direct kinematics --- nonlinear flexible beams --- discrete modeling --- underactuated robots --- optimal preshaping input --- spacecraft --- robotics --- dual quaternions --- aerial robotics --- quadcopters --- UAVs --- dual-tilting --- tilting rotors --- over-actuation --- flight control --- rotorcraft --- adaptive --- balancing --- counterweight --- mechatronic system --- robot --- timing belt --- belt stiffness --- dynamic system modeling --- mechatronic systems --- 3D printers
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