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Distributed parameter systems encompass a broad range of engineering applications from stereo speakers to space structures. The dynamic behaviour of these systems is usually governed by one or more partial differential equations, which may accurately represent the physical system but are often difficult to solve exactly. Research in the dynamics and control of distributed parameter structural systems has grown dramatically in recent years, owing in part to the increasing complexity of these systems. Emerging technologies such as smart materials and mechatronics have contributed to growth in interest. The purpose of this book is to document progress in both theory and practical applications. Chapters discuss simulation, modelling, and analysis techniques used to investigate a variety of elastic, electromechanical and acoustic systems. With contributions by leading authorities, this book will serve as a resource for researchers and graduate students and also as a useful reference for practising engineers working in the area of dynamics and control of distributed systems.
Vibration --- Distributed parameter systems. --- Structural control (Engineering) --- Mathematical models.
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Distributed parameter systems. --- Fault tolerance. --- Avionics. --- Systems engineering. --- Modularity.
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Diffusion. --- Dimensions. --- Distributed parameter systems. --- Estimates. --- Noise. --- Parameter identification.
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Aeroelasticity. --- Chandrasekhar equation. --- Computation. --- Distributed parameter systems. --- Factorization. --- Optimal control.
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State-space methods --- Distributed parameter systems --- regeltechniek --- cybernetica --- controlemethode --- Theorie du controle
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"This book presents a unified frequency-domain method for the analysis of distributed control systems"--
Distributed parameter systems. --- Time-domain analysis. --- Frequency curves. --- SCIENCE / System Theory.
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A predictive tracking approach and a novel method for visual motion compensation are introduced, which accurately reconstruct and compensate the deformation of the elastic object, even in the case of complete measurement information loss. The core of the methods involves a probabilistic physical model of the object, from which all other mathematical models are systematically derived. Due to flexible adaptation of the models, the balance between their complexity and their accuracy is achieved.
stochastic estimation --- physics-based modeling --- robotics --- distributed parameter systems --- beating heart surgery --- video processing --- probabilistic models
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Aircraft engines. --- Distributed parameter systems. --- Engine control. --- Hardware-in-the-loop simulation. --- Systems engineering.
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Distributed parameter systems. --- Domains. --- Estimates. --- Geometry. --- Parameter identification. --- Thermal analysis. --- Two dimensional bodies.
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Fault tolerance. --- Mathematical models. --- Performance prediction. --- Computer systems programs. --- Distributed parameter systems. --- Flight control. --- Design analysis.
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