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Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures, Thomas Antony
Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures, Thomas Antony
Open Access Theses
Trajectory optimization is a field which can benefit greatly from the advantages offered by parallel computing. The current state-of-the-art in trajectory optimization focuses on the use of direct optimization methods, such as the pseudo-spectral method. These methods are favored due to their ease of implementation and large convergence regions while indirect methods have largely been ignored in the literature in the past decade except for specific applications in astrodynamics. It has been shown that the shortcomings conventionally associated with indirect methods can be overcome by the use of a continuation method in which complex trajectory solutions are obtained by solving …
Optimal Control Of Unknown Nonlinear System From Inputoutput Data, Xin Jin
Optimal Control Of Unknown Nonlinear System From Inputoutput Data, Xin Jin
Open Access Theses
Optimal control designers usually require a plant model to design a controller. The problem is the controller's performance heavily depends on the accuracy of the plant model. However, in many situations, it is very time-consuming to implement the system identification procedure and an accurate structure of a plant model is very difficult to obtain. On the other hand, neuro-fuzzy models with product inference engine, singleton fuzzifier, center average defuzzifier, and Gaussian membership functions can be easily trained by many well-established learning algorithms based on given input-output data pairs. Therefore, this kind of model is used in the current optimal controller …