Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 48 for “"Non linear systems"”.
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Some Studies of Oscillations in Non-Linear Systems
Made available in DSpace on 2014-12-04T21:02:28Z (GMT). No. of bitstreams: 1 0002082.pdf: 4035544 bytes, checksum: d3fea296d241eb7f2a7a3056bda206f1 (MD5) Previous issue date: 1950
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Fuzzy Logic Approaches to Modelling, Identification and Control of Non-Linear Systems
This thesis is concerned with the modelling of non-linear systems, identification of control strategies and designing fuzzy controllers for uncertain systems using fuzzy logic techniques assisted by other conventional methods. The application of the proposed approaches are tested and evaluated on …
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Study of work flow in piezoelectrically driven linear and non-linear systems
… assumptions about the efficiency of active systems working against a load neglect the load coupling inherent in these systems. This thesis contains a derivation for finding the actuation efficiency and work output in electro-mechanically coupled systems working against a load. This general …
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Actuation efficiency and work flow in piezoelectrically driven linear and non-linear systems
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2001.
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Control of Burgers' Equation With Mixed Boundary Conditions
… of this approach to boundary control of non-linear systems.
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ΠΑΡΑΛΛΗΛΟΙ ΑΛΓΟΡΙΘΜΟΙ ΣΧΕΔΙΑΣΜΟΥ ΤΡΟΧΙΑΣ ΡΟΜΠΟΤΙΚΩΝ ΒΡΑΧΙΟΝΩΝ ΚΑΙ ΑΠΟΣΥΖΕΥΞΗ ΜΗΓΡΑΜΜΙΚΩΝ ΣΥΣΤΗΜΑΤΩΝ
… THESIS EXAMINES THE INPUT OUTPUT DECOUPLING OF NON LINEAR SYSTEMS . A PROCEDURE IS PRESENTED FOR THE CONSTRUCTION OF A SIMPLE MINIMUM ORDER PRECOMPENATOR. THE DECOUPLING IS ACHIEVED USING A FEEDBACK LOW ONCE.
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Artificial Neural Network-Based Robotic Control
… solving schemes due to their ability to solve non-linear systems with a nonalgorithmic approach. The applications of ANNs range from process control to pattern recognition and, with increasing importance, robotics. This paper demonstrates continuous control of a robot using the deep …
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Numerical methods for systems of highly oscillatory ordinary differential equations
… methods for efficient numerical approximation of linear and non-linear systems of highly oscillatory ordinary differential equations. Phenomena of high oscillation is considered a major computational problem occurring in Fourier analysis, computational harmonic analysis, quantum mechanics, …
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Planning For Chaos: Cluster Strategies Of Economic Development
… clusters. Because clusters are turbulent, non-linear systems that are sensitive to endogenous and exogenous triggers, chaos theory may provide the conceptual foundation appropriate to the study of economic clusters. A more thorough understanding of the emergence and development of economic …
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State Variable and Parameter Estimation
… designed to produce continuous solutions to linear, ordinary differential equations is described. These solutions are based on a set of orthogonal polynomials. This work is then incorporated into state estimation theory and a continuous filter is developed. A new sequential adaptive filter is …
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Automatic digital scaling of analog computers
… is that it is cumbersome in the handling of non-linear systems. The method can be divided broadly into two sections: 1) Digital simulation of system in order to determine the maximum values of all variables. 2) Scaling and analog set-up.
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Applications of the analog computer to mathematical problems
… those that can be represented by a system of linear, ordinary differential equations with constant coefficients. However, similar techniques are applicable to the analogous non-linear systems and systems with variable coefficients, on a fully-equipped analog computer.
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Exponential integrators: tensor structured problems and applications
The solution of stiff systems of Ordinary Differential Equations (ODEs), that typically arise after spatial discretization of many important evolutionary Partial Differential Equations (PDEs), constitutes a topic of wide interest in numerical analysis. A prominent way to numerically integrate such …
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Deep Multi-Resolution Operator Networks (DMON): Exploring Novel Data-Driven Strategies for Chaotic Inverse Problems
… to solve inverse problems related to chaotic non-linear systems with low-resolution data through intelligently utilizing high-resolution data from a similar system. Performance of the DMON model and the proposed selection mechanisms are evaluated on two chaotic systems, a double pendulum and …
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A comparison of software engines for simulation of closed-loop control systems
… different state space control methods for non-linear Furuta pendulum system in each one of them and to compare performance against MATLAB-Simulink. Different parameters like learning curve, interoperability, flexibility, control design tools, documentation and tech support are considered …
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Application of a Decomposition Strategy to the Optimal Synthesis/Design and Operation of a Fuel Cell Based Total Energy System
… isolation" when applied to highly complex, non-linear systems. This contrasts with past attempts to approach this condition, all of which were applied to very simple systems under very special and restricted conditions such as those requiring linearity in the models and strictly local …
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Development of An Adaptive Kalman Filter for Estimation in Chemical Plant.
… amount of success due to the inaccuracies and non-linearities of the mathematical models developed to describe the process being studied. To overcome these problems, two theoretical developments are proposed; the first being an adaptive form of the Kalman Filter which compensates for modelling …
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Single-Phase, Single-Switch, Sensorless Switched Reluctance Motor Drive Utilizing a Minimal Artificial Neural Net
… (ANNs) have proved to be useful in approximating non- linear systems in many applications including motion control. ANNs advocated in switched reluctance motor (SRM) control typically have a large number of neurons and several layers which impedes their real time implementation in embedded sys- …
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Parallel homotopy curve tracking on a hypercube
… methods are a class of methods for solving non-linear systems of equations that are globally convergent with probability one from an arbitrary starting point. The essence of these algorithms is the construction of an appropriate homotopy map and subsequent tracking of some smooth curve in …
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Switching control systems and their design automation via genetic algorithms
… this work is to provide a simple and effective nonlinear controller. Our strategy involves switching the underlying strategies in order to maintain a robust control. If a disturbance moves the system outside the region of stability or the domain of attraction, it will be guided back onto the …
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