During the last decades, applications of dynamical analysis in advanced, often nonlinear, engineering systems have been evolved in a revolutionary way. In this context one can think of applications in aerospace engineering like satellites, in naval engineering like ship motion, in mechanical engineering like rotating machinery, vehicle systems, robots and biomechanics, and in civil engineering like earthquake dynamics and offshore technology. One could continue with this list for a long time. The application of advanced dynamics in the above fields has been possible due to the use of sophisticated computational techniques employing powerful concepts of nonlinear dynamics. These concepts have been and are being developed in mathematics, mechanics and physics. It should be remarked that careful experimental studies are vitally needed to establish the real existence and observability of the predicted dynamical phenomena. The interaction between nonlinear dynamics and nonlinear control in advanced engineering systems is becoming of increasing importance because of several reasons. Firstly, control strategies in nonlinear systems are used to obtain desired dynamic behaviour and improved reliability during operation, Applications include power plant rotating machinery, vehicle systems, robotics, etc. Terms like motion control, optimal control and adaptive control are used in this field of interest. Since mechanical and electronic components are often necessary to realize the desired action in practice, the engineers use the term mechatronics to indicate this field. If the desired dynamic behaviour is achieved by changing design variables (mostly called system parameters), one can think of fields like control of chaos.
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Preface. Nonlinear Position-Dependent Circuits: A Language for Describing Motions of Nonlinear Mechanical Systems; S. Arimoto. Dynamics of Singularly Perturbed Nonlinear Systems with Two Degrees-of-Freedom; A.K. Bajaj, et al. Control of Chaos: Impact Oscillators and Targeting; E. Barreto, et al. Hill's Problem as a Dynamic Billiard; V.V. Beletsky, O.P. Salimova. Dynamics and Optimal Control Problems for Biotechnical Systems `Man-Prosthesis'; V. Berbyui. Control of the Parametrically Excited Pendulum; S.R. Bishop, D.L. Xu. On Simulation of Active Control of Structures under Travelling Inertial Loads; R. Bogacz, T. Szolc. Accurate Modelling of a Controlled Pneumatic Actuator with Experimental Validation; R. Caracciolo, et al. Design of Control under Mixed Constraints; F.L. Chernousko. New Drive for Motion Control: Survey of the Techniques of Vector-Controlled Induction Motors without Speed Sensors; T.H. Chin. Controlling Hopf Bifurcation in Mechanical Systems; K. Czolzynski, et al. Active Alignment Control of a Payload Using Non-Linear, Long Stroke Actuators; A.P. Darby, S. Pellegrino. A Benchmark Example to Qualify a Control Strategy for Motion Control; A. de Carli, L. Onofri. Controlling Chaos in a Temporally Irregular Environment and Its Application to Engineering Systems; M. Ding. Motion Planning Strategies to Improve the Dynamic Behaviour of Controlled Mechanical Systems; R. Faglia. Multivariable Identification of Active Magnetic Bearing Systems; C. Gähler, et al. Vibration Control of a Nonlinear Beam System; M.F. Heertjes, et al. Homoclinic Bifurcation and Localised Torsional Buckling of Elastic Rods; G.H.M. van der Heijden, et al. Controlling Chaotic Motion of a Mechanical System with a Set-Up Elastic Stop; H.Y.Hu. Output Annihilation and Optimal H2-Control of Plate Vibrations by Multiple Piezoelectric Actuation; H. Irschik, et al. Object Oriented Modelling and Simulation of Mechatronic Systems; R. Kasper. Robust Decentralized Control of Multibody Systems; P.K. Kiriazov. Dynamic Modelling of Impedance Controlled Drives for Positioning Robots; K.Gr. Kostadinov, G.V. Boiadjiev. Parameter Identification in Nonlinear Models Using Periodic Equilibrium States; A. de Kraker, et al. Optimization of an Actively Steered People Mover; R. Krause, et al. Controlling Torsional Vibrations through Proper Orthogonal Decomposition; E. Kreuzer, O. Kust. Dynamics and Control of Discrete Electromechanical Systems; P. Maißer, et al. A Two-Level Control-Design Methodology and a Software Toolset for Mechatronics; H. Mann, Z. Úředníček. Entrainment Control of Chaos Near Unstable Periodic Orbits; R. Mettin. Near-Time-Optimal Feedback Control of Mechanical Systems with Fast and Slow Motions; S.A. Mikhailov, P.C. Müller. Optimal Control of Mechanical Descriptor Systems; P.C. Müller. Adaptive/Robust Control of Chaotic Systems; H. Mijmeijer. Experimental Implementation of Saturation Control; S.S. Oueini, A.H. Nayfeh. Dynamics of the Opposed Pile Driver; F. Peterka, O. Szöllös. The Analysis and Stability of Piecewise Linear Dynamical Systems; N.B.O.L. Pettit, et al. Grasping Optimization and Control; F. Pfeiffer. Experimental Investigation of Random Vibration Control through Dry Friction; A. Pirrotta, R.A. Ibrahim. Some Developments in Computational Techniques in Modeling Advanced Mechanical Systems; D. Pogorelovs. Optimisation of Non-Linear Inter-Vehicle Active Suspension Co
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the IUTAM Symposium held in Eindhoven, The Netherlands, 21-26 April 1996 During the last decades, applications of dynamical analysis in advanced, often nonlinear, engineering systems have been evolved in a revolutionary way. In this cont. Codice articolo 5833064
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -During the last decades, applications of dynamical analysis in advanced, often nonlinear, engineering systems have been evolved in a revolutionary way. In this context one can think of applications in aerospace engineering like satellites, in naval engineering like ship motion, in mechanical engineering like rotating machinery, vehicle systems, robots and biomechanics, and in civil engineering like earthquake dynamics and offshore technology. One could continue with this list for a long time. The application of advanced dynamics in the above fields has been possible due to the use of sophisticated computational techniques employing powerful concepts of nonlinear dynamics. These concepts have been and are being developed in mathematics, mechanics and physics. It should be remarked that careful experimental studies are vitally needed to establish the real existence and observability of the predicted dynamical phenomena. The interaction between nonlinear dynamics and nonlinear control in advanced engineering systems is becoming of increasing importance because of several reasons. Firstly, control strategies in nonlinear systems are used to obtain desired dynamic behaviour and improved reliability during operation, Applications include power plant rotating machinery, vehicle systems, robotics, etc. Terms like motion control, optimal control and adaptive control are used in this field of interest. Since mechanical and electronic components are often necessary to realize the desired action in practice, the engineers use the term mechatronics to indicate this field. If the desired dynamic behaviour is achieved by changing design variables (mostly called system parameters), one can think of fields like control of chaos. 468 pp. Englisch. Codice articolo 9789401064392
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -During the last decades, applications of dynamical analysis in advanced, often nonlinear, engineering systems have been evolved in a revolutionary way. In this context one can think of applications in aerospace engineering like satellites, in naval engineering like ship motion, in mechanical engineering like rotating machinery, vehicle systems, robots and biomechanics, and in civil engineering like earthquake dynamics and offshore technology. One could continue with this list for a long time. The application of advanced dynamics in the above fields has been possible due to the use of sophisticated computational techniques employing powerful concepts of nonlinear dynamics. These concepts have been and are being developed in mathematics, mechanics and physics. It should be remarked that careful experimental studies are vitally needed to establish the real existence and observability of the predicted dynamical phenomena. The interaction between nonlinear dynamics and nonlinear control in advanced engineering systems is becoming of increasing importance because of several reasons. Firstly, control strategies in nonlinear systems are used to obtain desired dynamic behaviour and improved reliability during operation, Applications include power plant rotating machinery, vehicle systems, robotics, etc. Terms like motion control, optimal control and adaptive control are used in this field of interest. Since mechanical and electronic components are often necessary to realize the desired action in practice, the engineers use the term mechatronics to indicate this field. If the desired dynamic behaviour is achieved by changing design variables (mostly called system parameters), one can think of fields like control of chaos.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 468 pp. Englisch. Codice articolo 9789401064392
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - During the last decades, applications of dynamical analysis in advanced, often nonlinear, engineering systems have been evolved in a revolutionary way. In this context one can think of applications in aerospace engineering like satellites, in naval engineering like ship motion, in mechanical engineering like rotating machinery, vehicle systems, robots and biomechanics, and in civil engineering like earthquake dynamics and offshore technology. One could continue with this list for a long time. The application of advanced dynamics in the above fields has been possible due to the use of sophisticated computational techniques employing powerful concepts of nonlinear dynamics. These concepts have been and are being developed in mathematics, mechanics and physics. It should be remarked that careful experimental studies are vitally needed to establish the real existence and observability of the predicted dynamical phenomena. The interaction between nonlinear dynamics and nonlinear control in advanced engineering systems is becoming of increasing importance because of several reasons. Firstly, control strategies in nonlinear systems are used to obtain desired dynamic behaviour and improved reliability during operation, Applications include power plant rotating machinery, vehicle systems, robotics, etc. Terms like motion control, optimal control and adaptive control are used in this field of interest. Since mechanical and electronic components are often necessary to realize the desired action in practice, the engineers use the term mechatronics to indicate this field. If the desired dynamic behaviour is achieved by changing design variables (mostly called system parameters), one can think of fields like control of chaos. Codice articolo 9789401064392
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