Optimal Estimation and Control
Distributed Control and Computing: Optimal Estimation, Error Correcting Codes, and Interactive Protocols
... distributed control and general interactive communication ...Decentralized Estimation Rapid advances in embedded systems technology have lead to a proliferation of cheap and often low quality sensors with ...
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Optimal Estimation and Control of Large Collaborative Swarms using Random Finite Set Theory
... am grateful for my friends on the UMN Rocket Team including Zach Fox, Hannah Weiher, Chad Serba, Paul Gross, and many others who have helped me become a team player, leader, and an innovator to make our team renown ...
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Aircraft Control System Using LQG and LQR Controller with Optimal Estimation-Kalman Filter Design
... Feedback control systems are widely used in manufacturing, mining, automobile and military hardware ...these control systems are being required to deliver more accurate and better overall performance in the ...
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Optimal Electric Field Estimation and. Control for Coronagraphy
... the control laws and strategies that suppress the aberrated field in both monochromatic and broadband ...wavefront estimation we also develop an extrapolation technique that uses a single monochromatic ...
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Robust estimation and sub-optimal predictive control for satellites
... 7.3 Sub-optimal NMPC Formulation For initial body rates less than ±5 deg/s, both problems F 1 and F 2 give similar perfor- mance if the horizon is sufficiently long (see Figure 7.3). However, during the ...
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Approximation issues for applications in optimal control and parameter estimation
... In the remainder of the paper we will expand on these ideas. More detailed def- initions and statements of convergence theorems will be given so that we may focus more precisely on the theoretical reasons for the ...
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Optimal Control, Estimation, and Shape Design: Analysis and Applications
... In our work on the optimal design of TWTs we described additional tools to effec- tively explore different circuit designs, automate parameter variation, and optimization. In particular, we demonstrated that ...
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An optimal control variance reduction method for density estimation
... a control variate method of the Romberg type with a global tolerance error of order 1 /n, the parameters needed to use the algorithm are h = n − α , N 1 = n 2+ αd , N 2 = n (d+2)α+2−β with β/(d + 2) > α ≥ 1/s ...
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Optimal nonlinear control and estimation using global domain linearization
... Biological systems inspire the design of arti cial intelligent systems, but bi- ological solutions are far from global optimal solution. The speed and power available to a machine far exceeds biological upper ...
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Optimal control and robust estimation for ocean wave energy converters
... compute optimal passive controllers. In [35], however, optimal latching is applied to a two-body device with nonlinear hydraulic ...circuitry. Optimal latching is also similarly formulated and ...
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Optimal test signal design and estimation for dynamic powertrain calibration and control
... 4. OPTIMAL INPUT DESIGN FOR SYSTEM IDENTIFICATION 94 than the ...based optimal input design is proved to be ...for optimal input design as it leads to a considerably smaller computing burden than J G ...
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Estimation of optimal machining control parameters using artificial bee colony
... It was proved that ABC is an effective optimization algo- rithm applied for probabilistic exploration includes local and global searches. This effectiveness was obviously clear by comparing the mean and variance values ...
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Optimal Process Control Parameters Estimation in Aluminium Extrusion for Given Product Characteristics
... an optimal set of conditions for an isothermal process to extrude a product for a given shape and material properties with minimal ...all control points of a Bezier-curve for the die surface that minimizes ...
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Development of a State Estimation Environment for the Optimal Control of a Mini-plant for the Hydroformylation in Microemulsions
... state estimation framework for a surfactant containing multiphase process for the hydroformylation of long- chained alkenes is ...state estimation methods, such as the extended Kalman filter, the unscented ...
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Applications of Optimal Subspace Estimation
... ACKNOWLEDGMENTS I would like to take the opportunity to thank Dr. Richard Vaccaro for his expert advisement during my thesis research and overall studies at the University of Rhode Island. I owe the completion of this ...
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Solving chance constrained optimal control problems in aerospace via Kernel Density Estimation
... Figure 16: Plot of the Kernel Density Estimator ˆ f m p of M e30 and its integral F . ˆ solutions. In spite of a not yet complete theoretical framework, the numerical results provided by Kernel Density Estimation ...
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Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems
... stochastic optimal control problems in discrete-time based on the principle of model-reality ...of optimal control and parameter ...model-based optimal control model with ...
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Input estimation for drug discovery using optimal control and Markov chain Monte Carlo approaches
... range 0.2–0.5. The Markov chains were initialised to the MAP estimate given by the optimal-control techniques. 15,000 samples were drawn for each analysis. Obtaining MAP estimates is in general ...
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Optimal control and inverse optimal control by distribution matching
... 2) Regularization: Due to the difficulty of matching higher order moments based on the gradient, we were restricted when choosing a system for comparing the KL based regularization with regularization based on L 1 or L 2 ...
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Optimal Control
... This quadratic equation can be solved numerically: in MATLAB the command K = lqr(A, B, Qx, Qu) provides the optimal feedback compensator. In deriving the optimal quadratic regulator, we have glossed over a ...
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