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oil pipeline tariff analysis doctoral

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Attended by more than 7,200 oil and gas industry managers from 106 countries. Welcome to IHRDC’s 2015 Instructional Programs Catalog Dear Colleague.
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Frames and coordinate transformations; kinematics of attitude parametrization; attitude dynamics; sensors: star trackers, sun sensors, horizon sensors, magnetometers, GPS receivers, gyroscopes, orbital gyro-compassing; static attitude determination methods: the triad algorithm; Wahba’s problem; quaternion solution; matrix solution; error analysis; maximum likelihood estimation for attitude determination; examples of attitude determination and control of ISRO and US satellites; yaw sensing for inclination control; gps attitude determination; attitude representations for Kalman filtering: three-component representation; additive and multiplicative quaternion representations; attitude estimation: Kalman filter formulation; gyro calibration; Kalman smoother, filtering and the quest measurement model; mission mode Kalman filter; steady-state solution; gyro and magnetometer calibration; extended Kalman filter approach; illustrations of spacecraft attitude determination and control results

What is it to philosophize, Different aspects of philosophy: Metaphysics, Epistemology, Ethics, Logic; Philosophy in ancient Greece: Heraclitus, Parmenides, Socrates, Plato, and Aristotle; Philosophy in ancient India: Orthodox and heterodox schools; Modern Western philosophy: Rationalism and empiricism; Metaphysics: Problem of universals; Epistemology: Knowledge as justified true belief, Gettier counter-examples; Ethics: Meta-ethics and normative ethics, Different ethical theories; Analytic philosophy: Frege, Russell, Wittgenstein, Austin, Quine, and Kripke.

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Introduction to nonlinear systems with examples from mechanical, electrical, biological and chemical systems, theorems of existence and uniqueness of solutions for general class of nonlinear oscillators, dynamics in phase space, stability and classification of fixed points, general types of orbits; Basic asymptotic/perturbation methods for analyzing the free and forced responses of single- and multi-degree-of-freedom nonlinear oscillators; Forced (fundamental, sub-harmonic and super-harmonic) response, internal and combination resonances in nonlinear systems, and linearized stability analysis; Floquet theory for linear parametrically excited systems, and stability of periodic solutions; Introduction to discrete-time dynamical systems (nonlinear maps) and Poincare’ maps; Theory of bifurcations in nonlinear systems.

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Automation: Types of automation, Degree of automation, Technical, economic and human factors in automation, Technologies like Mechanical, Electrical, Hydraulic, etc., Comparative evaluation, Development of automation systems using mechanical devices, pneumatic systems, hydraulic systems, electrical systems and hybrids. Synthesis and analysis, Optimization techniques, Illustrative examples of the above types of systems used for automation of machine tools, Material Handling devices, products etc. Industrial logic control systems, Logic diagramming, Design of servo systems, Design for automation, Cost-benefit analysis. Control: Open loop and closed loop control, Mathematical model of physical systems, Laplace transformation, Transfer functions, Types of controllers, Stability analysis in feedback controls, Transient response analysis of systems, Frequency response methods, Improving system performance, Discrete-time systems and Z-Transform method. Introduction to non-linear control systems, Approach to optimal and adaptive control systems, Micro-processor based digital control, State space analysis.

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Mathematical prerequisites; Nature of mathematical modeling in physical sciences; Classification of inverse problems: discrete (parameter estimation) and continuous inverse problems. Discretizing continuous inverse problems using basis functions; Nature of ill-posed problems. Examples of ill-posed problems in physical sciences; Inverse solutions using least squares methods. Rank deficiency and ill-conditioning: Singular Value Decomposition and generalized inverse; covariance and resolution of the generalized inverse solution. Minimum norm inverse solutions. Model resolution and information density matrices; Tikhonov regularization: resolution, bias and uncertainty in solution, discrepancy method. Higher order Tikhonov regularization. Other regularization techniques: Sparsity regularization, bounds constraints; Fourier techniques: regularization in Fourier space; Stochastic inverse theory, Bayesian inverse theory: multivariate normal case, Markov Chain Monte Carlo methods, Analyzing MCMC outputs. Using stochastic methods for identifying a host of acceptable models.; Nonlinear inverse modeling :Occam’s inversion.

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