optimal linear quadratic regulator
Enhancement of Articulated Heavy Vehicle Stability by Optimal Linear Quadratic Regulator (LQR) Controller of Roll-yaw Dynamics
... an optimal linear quadratic regulator (LQR) controller for roll-yaw dynamics to articulated heavy vehicles is ...the optimal linear controller is applied ...
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The design of a linear quadratic optimal regulator for transient heat flow in continuous casting of steel
... a quadratic function in the dimension that runs across the width of the workpiece, and an exponential function in the dimension that runs along the length of the ...
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Linear quadratic regulator (LQR) controller design for inverted pendulum
... This experiment consists of a rigid link (pendulum) rotating in a vertical plane. The rigid link is attached to a pivot arm, which is mounted on the load shaft of a DC-motor [6]. The pivot arm can be rotated in the ...
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Pulse Width Pulse Frequency Based Optimal Controller Design for Kinetic Kill Vehicle Attitude Tracking Control
... the linear quadratic regulator technique is used to design the optimal atti- tude controller, and the pulse-width pulse-frequency modulator is used to shape the continuous control command to ...
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Optimal Controller Design for Linear Inverted Pendulum and Double Inverted Pendulum System
... of linear inverted pendulum and double inverted pendulum ...using Linear Quadratic Regulator (LQR) ...paper, Linear Quadratic Regulator (LQR) and Linear ...
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Performance Analysis of Speed Control of Direct Current (DC) Motor using Traditional Tuning Controller
... [8]. Linear quadratic regulator design technique is well known in modern optimal control theory and has been widely used in many ...the linear quadratic regulator theory ...
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Linear quadratic regulator (LQR) controller design for dc servo motor
... developed Linear Quadratic regulator (LQR) speed control for DC motor using ...a quadratic function composed of state vector and control ...the optimal value feedback gain on the order ...
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Removal of Moisture Content in Paper Machine Using Soft Computing Techniques
... and Linear Quadratic Regulator method, the proposed method is more efficient in improving the step response characteristics such as, reducing the steady-states errors, rise time, settling time and ...
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A gain scheduled robust linear quadratic regulator for vehicle direct yaw moment control
... However, Linear Quadratic Regulators (LQR) is one of the most commonly used control method for reference yaw moment ...robust optimal sliding-mode yaw rate controller was proposed in [15] to address ...
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Comparison of a Triple Inverted Pendulum Stabilization using Optimal Control Technique
... an optimal control method means a linear quadratic regulator and pole placement controllers are used to stabilize the triple inverted pendulum ...
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A Novel Method for Optimal Control of Piecewise Affine Systems Using Semi-Definite Programming
... systems optimal control and the majority of the studies are related to [27] programming, optimal control approaches for linear time invariant and time variant systems are reported in [28] and [29], ...
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Implementation of Optimal Control Methods for Modeling of A Power System Stabilizer in Single Machine Infinite Bus System
... prevalent optimal control methods like linear Gaussian regulator (LGR), linear quadratic regulator (LQR), H controller design, H2 controller design on the system and evaluation ...
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Optimal Control of Wind Turbines under Islanded Operation
... an optimal control scheme for wind turbine output torque and power regulation under the influence of wind disturbances is ...of linear matrix inequality (LMI) formalism of linear quadratic ...
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Aeroelastic and trajectory control of high altitude long endurance aircraft
... We investigate the aeroelastic and trajectory control of an High Altitude Long Endurance (HALE) aircraft model in the presence of gust and turbulence disturbances. The model is derived from geometrically-nonlinear beam ...
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Stability and Identification with Optimal Macroprudential Policy Rules
... a quadratic loss objective func- tion which includes a "risk" term, given by the variance of realized unem- ployment, which depend on …nancial market ...
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Enhancing Autonomy in VTOL Aircraft Based on Symbolic Computation Algorithms
... The proposed approach has the potential in a number of applications, espe- cially in adaptive control algorithms for complex UAV topologies. Derivation of both the linear and non-linear systems in such ...
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Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey
... for optimal location of UPFC in power systems to enhances the steady state performance and significantly increase the loadability of the ...for optimal location and parameters settings of UPFCs to maximize ...
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Characterization of optimal feedback for stochastic linear quadratic control problems
... an optimal state, then x ¯ ∈ L 2 F (0, T ; R n ) and hence it is the desired optimal control, such kind of control strategy is not robust, even with respect to some very small ...
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Communication-Cost-Constrained Algorithms and Games for Multi-Agent Control Systems.
... applicability of proposed methods, we do not assume specific communication medium or net- work topology. Instead, we address the following question: how to reduce the communication cost, given by the number of ...
104
Adaptation in Stochastic Dynamic Systems—Survey and New Results III: Robust LQ Regulator Modification
... There exists another a comparatively new class of algo- rithms in Kalman filtering (LQG estimation) area [65], the so-called array algorithms. They alleviate some computational problems associated with Riccati itera- ...
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