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 359 for “"Predictive Control"”.
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Predictive Control of Diabetic Glycemia
… insulin and glucose doses. For evaluation, the control algorithms were tested insilico using a virtual patient and are compared to a simple bolus calculator from the literature. The aim was to increase the time spent in the safe range of blood glucose values of 70 − 180 [mg/dL].
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Predictive control of electrical drives
In this work, the application of the Predictive Control Technique to the electrical drives has been considered and discussed, especially in comparison with the employment of the traditional control techniques. First of all, a predictive control algorithm for the Brushless DC drive is developed with …
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Robust constrained model predictive control
… compared to its centralized counterpart. The controllers developed in this thesis are demonstrated throughout in simulated examples related to vehicle control. Also, some of the controllers have been implemented on vehicle testbeds to verify their operation. The tools developed in this thesis …
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Predictive control of urban wastewater systems
… treatment industry. As a result, advanced control strategies are required, to fully exploit the potential of these complex systems in addressing water quality concerns. Model based control strategies can be appropriate within the multivariable constrained wastewater system. In particular, …
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Gradient-Based Distributed Model Predictive Control
… thesis covers different topics related to model predictive control (MPC) and particularly distributed model predictive control (DMPC). One topic of the thesis is gradient-based optimization algorithms for solving the optimization problem arising in DMPC in a distributed manner. The underlying …
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Constrained predictive control for corporate policy
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Robust Predictive Control for Legged Locomotion
… aims to realize the goal of developing robust control solutions that can enable legged robots to navigate complex unknown environments. The idea of creating articulated-legged machines that can mimic animal locomotion has fueled the imagination of many researchers. These legged robots are …
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Gain Conditioning for Linear Model Predictive Control
Linear model predictive control (MPC) is used in a wide variety of process industries. Linear MPCs calculate adjustments in multiple manipulated variables (MVs) to ensure that operating constraints are obeyed and that controlled variables (CVs) are maintained near their setpoints. Industrial …
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Model Predictive Control for Partial Differential Equations
In this thesis we are concerned with model predictive control (MPC) of partial differential equations. The idea is to approximate an infinite time horizon optimal control problem by a sequence of finite horizon optimal control problems. The optimization horizon plays a crucial role in the stability …
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Model Predictive Control for Temperature Dependent Systems
… of experienced engineers or highly expensive control programs. These systems are often poorly operated, which increases the cost of production and affects the overall performance of the process. This paper aims at proposing a solution to this problem using adaptable Model Predictive Control …
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Model predictive control of wheeled mobile robots
The control of nonholonomic wheeled mobile robots (WMRs) has gained a lot of attention in the field of robotics over the past few decades as WMRs provide an increased range of motion resulting in a larger workspace. This research focuses on the application of Model Predictive Control (MPC) for …
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Model predictive control for building temperature regulation
… buildings should be proposed and applied. Model predictive control is widely used in building temperature regulation. Each model predictive control has its advantage. Through the comparison of several methods, this thesis discusses their respective features. The combination of a Matlab-based …
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Generalised predictive control : a study and application
This dissertation investigates the Generalised Predictive Control (GPC) method derived by Clarke, Mohtadi and Tuffs in the mid eighties. GPC is an adaptive predictive control algorithm, of which there are number, and has proven to be one of the more popular variants having been applied to various …
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Model predictive control for formation flying spacecraft
… thesis addresses some of the key dynamics and control issues expected in future missions by pursuing two areas of advancement: extensions of relative linear dynamics models and assessment and mitigation of sensor noise effects on control systems. Relative dynamics models play an important role …
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Stochastic Model Predictive Control via Fixed Structure Policies
<p>In this work, the model predictive control problem is extended to include not only open-loop control sequences but also state-feedback control laws by directly optimizing parameters of a control policy. Additionally, continuous cost functions are developed to allow training of the control policy …
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Non-linear model predictive control for autonomous vehicles
… and better optimization algorithms, Model Predictive Control (MPC) systems are more readily used for real-time applications. This research focuses on the application of MPC to trajectory generation of autonomous vehicles in an online manner. The operating environment is assumed to be …
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Model predictive control of timed continuous petri nets
This thesis addresses the optimal control problem of timed continuous Petri nets. The theory of Model Predictive Control (MPC) is first discussed. Then continuous Petri nets (PN) are introduced as a powerful tool for modelling, simulation and analysis of discrete event/continuous systems. Their …
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Predictive Control of HCCI Engines Using Physical Models
… conditions and disturbances, robust closed-loop control is necessary. To facilitate control design and allow for porting of both models and the resulting controllers between different engines, physics-based mathematical models of HCCI are of interest. This thesis presents work on a physical model …
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Self-tuning predictive control / by Maciej W. Rogozinski
Bibliography: leaves 329-348
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