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倒立摆-采用LQR(线性二次型最优控制)方法实现倒立摆控制-inverted pendulum-use LQR (linear quadratic optimal control) method inverted pendulum control
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本文首先建立了航天器姿态动力学及运动学方程,该方程具有较强的非线性特性。通过将状态耦合部分作系统干扰项的处理,使原来的非线性模型转化为线性模型加非线性干扰的形式,从而得到了更加简单明了的姿态控制系统的表达式。
在应用滑模变结构原理对系统进行控制器设计时,首先通过二次型最优法求出了最优滑动面,在此基础上,利用自适应滑模控制原理,设计出了合适的系统控制律。
最后,运用所设计的姿态控制系统对某航天器进行数值仿真,并对仿真结果进行了分析。仿真结果很好地体现出所设计的变结构控制器的优点,并成功地
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基于MATLABD的线性二次型最优控制设计.二次型最优控制设计-MATLABD based on the linear quadratic optimal control design. Quadratic Optimal Control Design
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型随机微分方程的线性二次控制,线性二次控制 -stochastic differential equation of the linear quadratic control, linear quadratic control the linear quadratic control
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JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG,我们能得到延时、数据丢失对系统的性能影响。同时,这个工具箱还能计算控制系统中信号的谱密度。-JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows
the computation of a quadratic performance criterion for a linear control
syste
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基于MATLABD的线性二次型最优控制设计-MATLABD based on the linear quadratic optimal control design
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线性二次最优控制加权阵遗传算法优化适应度函数m文件;模糊控制器量化比例因子遗传算法优化适应度函数m文件-Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file
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The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topi
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A MATLAB Toolbox for Large Lyapunov and
Riccati Equations, Model Reduction Problems, and
Linear{Quadratic Optimal Control Problems
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Adaptive Continuous-Time Linear
Quadratic Gaussian Control
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线性二次型调节器在飞行控制系统中的应用,参数Q、R矩阵根据实际运动方程手动调节。-Source Code for Linear Quadratic Regulator, applied in the aircraft control system. The Q/R matrix should be adjusted manually.
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The problems of robust stability and robust stabilization of linear state-space
systems with parameter uncertainties have been extensively studied in the
past decades [25, 209]. Many results on these topics have been proposed.
Among the differe
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control of a quadrotor using the linear quadratic regulator
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鲁棒控制与鲁棒控制器设计:
1、线性二次型 Gauss 控制
2、鲁棒控制问题的一般描述
3、鲁棒控制器的计算机辅助设计
4、新鲁棒控制工具箱及应用
5、分数阶控制系统分析与设计-Robust control and robust controller design: linear quadratic Gauss control, a general descr iption of the robust control problem, the computer-aided
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olve the deterministic finite-horizon optimal control problem with the iLQG (iterative Linear Quadratic Gaussian) or modified DDP (Differential Dynamic Programming) algorithm. Includes two demos, a linear control-constrained problem and a car-parking
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LQR控制算法,基于线性二次最优控制理论的最优控制方法,能很好的跟踪和改善性能。-LQR control algorithm, based on the linear quadratic optimal control theory of optimal control method, can be a very good track and improve performance.
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用线性二次型最优控制理论设计无限时间状态调节器-Design of Infinite Time Condition Regulator with Linear Quadratic Optimal Control Theory
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Kalman Filter是一个高效的递归滤波器,它可以实现从一系列的噪声测量中,估 计动态系统的状态。广泛应用于包含Radar、计算机视觉在内的等工程应用领域,在控制理论和控制系统工程中也是一个非常重要的课题。连同线性均方规划,卡尔曼滤波器可以用于解决LQG(Linear-quadratic-Gaussian control)问题。卡尔曼滤波器,线性均方归化及线性均方高斯控制器,是大部分控制领域基础难题的主要解决途径。(Kalman Filter is an efficient recursi
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linear quadratic tracking source code
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Linear quadratic gussian source code
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