This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.
This volume presents theoretical and empirical research on the syntax of events within the broader framework of generative grammar, focusing on the central question of how conceptual meaning interacts with narrow syntactic computation. Xuhui Hu proposes a set of integration conditions that require the content of the predicate to be licensed by theta-role information generated by narrow syntax. The other principal theoretical component of the book concerns the functional structure of events, which is related to issues such as the parallel between the event and nominal domains, the mapping of a predicate onto an entity, and the grammatical foundation of verb classification. The framework is applied to three areas: the syntax of resultatives in English and Chinese, cross-linguistic and diachronic variation in resultatives, and applicative constructions. The findings shed light on the thematic relationship between core arguments and predicates and on the syntax of non-core arguments, contribute to the theory of parametric variation in the generative tradition, and provide insights into the verb-framed vs satellite-framed typology
Imaging of tissue blood flow (BF) distributions provides vital information for the diagnosis and therapeutic monitoring of various vascular diseases. The innovative near-infrared speckle contrast diffuse correlation tomography (scDCT) technique produces full 3D BF distributions. Many advanced features are provided over competing technologies including high sampling density, fast data acquisition, noninvasiveness, noncontact, affordability, portability, and translatability across varied subject sizes. The basic principle, instrumentation, and data analysis algorithms are presented in detail. The extensive applications are summarized such as imaging of cerebral BF (CBF) in mice, rat, and piglet animals with skull penetration into deep brain. Clinical human testing results are described by recovery of BF distributions on preterm infants (CBF) through incubator wall, and on sensitive burn tissues and mastectomy skin flaps without direct device-tissue interactions. Supporting activities outlined include integrated capability for acquiring surface curvature information, rapid 2D blood flow mapping, and optimizations via tissue-like phantoms and computer simulations. These applications and activities both highlight and guide the reader as to the expected abilities and limitations of scDCT for adapting into their own preclinical/clinical research, use in constrained environments (i.e., neonatal intensive care unit bedside), and use on vulnerable subjects and measurement sites.
This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.
This volume presents theoretical and empirical research on the syntax of events within the broader framework of generative grammar, focusing on the central question of how conceptual meaning interacts with narrow syntactic computation. Xuhui Hu proposes a set of integration conditions that require the content of the predicate to be licensed by theta-role information generated by narrow syntax. The other principal theoretical component of the book concerns the functional structure of events, which is related to issues such as the parallel between the event and nominal domains, the mapping of a predicate onto an entity, and the grammatical foundation of verb classification. The framework is applied to three areas: the syntax of resultatives in English and Chinese, cross-linguistic and diachronic variation in resultatives, and applicative constructions. The findings shed light on the thematic relationship between core arguments and predicates and on the syntax of non-core arguments, contribute to the theory of parametric variation in the generative tradition, and provide insights into the verb-framed vs satellite-framed typology
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