Description: 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 Platform: |
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Author:wang |
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Description: 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 Platform: |
Size: 152576 |
Author:wang |
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Description: 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 Platform: |
Size: 250880 |
Author:wang |
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Description: 离散二次线性系统最优控制问题的MAtlab
原程序代码-Discrete linear systems with quadratic optimal control problem of the original Matlab code Platform: |
Size: 1024 |
Author:刘璐 |
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Description: 本文设计了倒立摆系统的变结构控制方案 并进行了MATLAB仿真-In this paper, the design of the inverted pendulum system of variable structure control program and a MATLAB simulation Platform: |
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Author:陆振华 |
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Description: 本书结合作者的研究工作，详细介绍了基于线性矩阵不等式的不确定系统鲁棒控制的概念、理论及设计方法。主要内容包括目前应用广泛的线性矩阵不等式的概念、理论、算法及相关软件；基于线性矩阵不等式处理方法的线性时不变系统性能分析和综合方法；重点介绍了不确定系统的模型、鲁棒性能分析、鲁棒H2/H∞控制、LMI区域及相应的区域极点配置方法、结合二次型性能指标的保性能控制、鲁棒方差控制等。
-This book combines the author' s research work, described in detail based on the linear matrix inequalities robust control of uncertain systems of concepts, theories and design methods. Including the current application of the main contents of a wide range of linear matrix inequalities of the concepts, theories, algorithms and related software treatment based on linear matrix inequalities linear time-invariant system performance analysis and synthesis methods focuses on the uncertain system model, Robust performance analysis, robust H2/H ∞ control, LMI region and the corresponding regional pole placement method, combined with quadratic performance index of the guaranteed cost control, Robust variance control. Platform: |
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Author:吴妍 |
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Description: 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 Platform: |
Size: 4096 |
Author:张立迎 |
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Description: 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 topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory. Platform: |
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Author:vignesh |
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Description: 最优控制经典教材Optimal Control Linear Quadratic Methods-Optimal Control of the classic textbook Optimal Control Linear Quadratic Methods Platform: |
Size: 16582656 |
Author:linhaiyan |
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Description: A MATLAB Toolbox for Large Lyapunov and
Riccati Equations, Model Reduction Problems, and
Linear{Quadratic Optimal Control Problems Platform: |
Size: 884736 |
Author:touati brahim ammar |
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Description: 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. Platform: |
Size: 104448 |
Author:paraqy |
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Description: 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
system under various timing conditions. Using the toolbox, one can easily
and quickly assert how sensitive a control system is to delay, jitter, lost
samples, etc., without resorting to simulation. The tool is quite general and
can also be used to investigate jitter-compensating controllers, aperiodic
controllers, and multi-rate controllers. As an additional feature, it is also
possible to compute the spectral density of the signals in the control system.
The main contribution of the toolbox, which is built on well-known theory
(LQG theory and jump linear systems), is to make it easy to apply this
type of stochastic analysis to a wide range of problems. Platform: |
Size: 35840 |
Author:钱三强 |
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Description: 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 different approaches that deal with these problems, the methods
based on the concepts of quadratic stability and quadratic stabilizability have
become popular. An uncertain system is quadratically stable if there exists a
fixed Lyapunov function to infer the stability of the uncertain system, while
an uncertain system is quadratically stabilizable if there exists a feedback controller
such that the closed-loop system is quadratically stable. Many results
on quadratic stability and quadratic stabilizability have been reported in both
the continuous and discrete contexts Platform: |
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Author:haha |
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Description: 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 description of the robust control problem, the computer-aided design of robust controller 4 new Robust Control Toolbox and Application 5 Fractional Control System Analysis and Design Platform: |
Size: 2184192 |
Author:王华 |
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Description: 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 problem. For details see
Tassa, Mansard and Todorov, Control-Limited Differential Dynamic Programming , ICRA 2014-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 problem. For details see
Tassa, Mansard and Todorov, Control-Limited Differential Dynamic Programming , ICRA 2014 Platform: |
Size: 14336 |
Author:saljoga22 |
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