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5.1 Spatial symmetry decompositions Spatial symmetry can often be exploited to solve electromagnetics problems. For analytic solutions, symmetry can be used to reduce the number of boundary conditions that must be applied. For computer solutions the storage requirements can be reduced
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4.1 Interpretation of the temporal transform When a field is represented by a continuous superposition of elemental components, the resulting decomposition can simplify computation and provide physical insight. Such rep￾resentation is usually accomplished through the use of an integral transform. Although
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The static electromagnetic field 3.1 Static fields and steady currents Perhaps the most carefully studied area of electromagnetics is that in which the fields are time-invariant. This area, known generally as statics, offers (1)the most direct op￾portunities for solution of the governing equations, and (2)the clearest physical pictures
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2.1 The postulate In 1864, James Clerk Maxwell proposed one of the most successful theories in the history of science. In a famous memoir to the Royal Society [125] he presented nine equations summarizing all known laws on electricity and magnetism. This was more than a mere cataloging of the laws of nature. By postulating the need for an additional term to make the set of equations self-consistent
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1.1 Notation, conventions, and symbology Any book that covers a broad range of topics will likely harbor some problems with notation and symbology. This results from having the same symbol used in different areas to represent different quantities, and also from having too many quantities to represent
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Appendix D Coordinate systems Rectangular coordinate system Coordinate variables
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Appendix C Some Fourier transform pairs Note:
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Appendix B Useful identities Algebraic identities for vectors and dyadics A + B = B + A (B.1) A · B = B · A (B.2)
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A.1 The Fourier transform The Fourier transform permits us to decompose a complicated field structure into elemental components. This can simplify the computation of fields and provide physical insight into their spatiotemporal behavior. In this section we review the properties of the transform and demonstrate its usefulness in solving field equations
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100 Control Systems W.L. Brogan, G.K. F. Lee, A P Sage, B.C. Kuo, C L. Phillip R D. Harbor, R.G. Jacquot, J.E. McInroy D P. Atherton, J.S. Bay W.T. Baumann, M-Y Chow Models. Deynamic Response. Frequency Response Methods: Bode Diagram Approach RootLocus.compensation.DigitalControlSystems.nonlinear Optimal Control and Estimation. Neural Control
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