没有合适的资源？快使用搜索试试~ 我知道了~

首页Identification，Analysis and Control of Dynamic System

Identification，Analysis and Control of Dynamic System

线性系统

反馈控制

最优控制

系统辨识

需积分: 9 122 浏览量更新于2023-05-26 评论收藏 9.12MB PDF 举报

身份认证购VIP最低享 7 折!

领优惠券(最高得80元）

试读

155页

控制系统领导大牛Alberto Bemporad讲义。线性系统分析（稳定性、可控性、可观性）和反馈控制系统分析和状态估计。系统识别（从数据中获取系统动态模型）。线性时变系统分析和控制

资源详情

资源评论

资源推荐

Identification, Analysis and

Control of Dynamical Systems

Alberto Bemporad

http://cse.lab.imtlucca.it/~bemporad

Academic year 2017-2018

Course contents

1. Systems analysis (stability, controllability, observability), and synthesis of

feedback controllers and state estimators

2. Systems identiﬁcation (=get dynamical models from data)

3. Analysis and control of linear parameter-varying systems

Dynamical systems

• A dynamical system is an object (or a set of objects) that evolves over time,

possibly under external excitations.

• Examples: an engine, a satellite, a tank reactor, a human transporter, ...

vessel

concentration/

temperature

reactant

concentration/

temperature

engine

torque

throttle

position

vertical

position

motor

voltage

thrusters

attitude

Dynamical systems

• ... a supply chain, a portfolio, a computer server

task

allocation

quality

of.service

portfolio

wealth

asset

quantities

raw

materials

items

sold

factory

warehouse distributor/retailer

• The way the system evolves over time is called the dynamics of the system.

剩余154页未读，继续阅读

以下是一篇即将投稿Minerals期刊（MDPI出版社）的论文初稿的部分内容，请按照该期刊对论文格式的要求，将以下内容进行压缩凝练（注意：可对内容进行删减，对错误进行修正，对语句顺序进行调整，符合美式英语标准，符合英语母语者语言习惯，句子简明易懂，术语使用准确，保留文章结构、不偏离论文主要内容）： Rocks and ore components directly enter the soil and water system sediments through physical weathering and chemical weathering, and the geochemical anomalies originally present in the rocks further spread with the entry into the soil or directly into the water system, forming soil anomalies and water system sediment anoma-lies.Geochemical anomaly detection is essentially the detection of signal anomalies in geochemical data, which refers to finding out the anomalous distribution of chemical elements themselves and the anomalous distribution of multiple elements in combination through feature extraction and analysis processing of geochemical data in the study area, and reflecting the mineral distribution through the distribution of geochemical ele-ments.Through the method of geochemical anomaly finding, the detected anomalies may contain information indicating specific minerals, which facilitates the rapid tracing of prospective areas and favorable areas for mineralization, identifies possible mineralizing elements and distribution characteristics in the work area, provides basic information for the strategic deployment of mineralization search, and provides good indications for later mineralization search.

Rocks and ore components enter soil and water system sediments through physical and chemical weathering, causing the spread of geochemical anomalies. Detecting geochemical anomalies involves identif

System Identification Toolbox系统辨识工具箱入门手册

System identification is a methodology for building mathematical models of dynamic systems on page 1-4 using measurements of the system’s input and output signals. The process of system identification

FAM和SSCA算法的matlab源程序-detection and identification of signal

FAM和SSCA算法的matlab源程序-detection and identification of signal FAM和SSCA算法的matlab源程序-detection and identification of signal

A fundamental question of data analysis is how to distinguish noise corrupted deterministic chaotic dynamics from time-(un)correlated stochastic fluctuations when just short length data is available. Despite its importance, direct tests of chaos vs stochasticity in finite time series still lack of a definitive quantification. Here we present a novel approach based on recurrence analysis, a nonlinear approach to deal with data. The main idea is the identification of how recurrence microstates and permutation patterns are affected by time reversibility of data, and how its behavior can be used to distinguish stochastic and deterministic data. We demonstrate the efficiency of the method for a bunch of paradigmatic systems under strong noise influence, as well as for real-world data, covering electronic circuit, sound vocalization and human speeches, neuronal activity, heart beat data, and geomagnetic indexes. Our results support the conclusion that the method distinguishes well deterministic from stochastic fluctuations in simulated and empirical data even under strong noise corruption, finding applications involving various areas of science and technology. In particular, for deterministic signals, the quantification of chaotic behavior may be of fundamental importance because it is believed that chaotic properties of some systems play important functional roles, opening doors to a better understanding and/or control of the physical mechanisms behind the generation of the signals

这是一个非常有趣的问题。我们可以使用循环分析这种非线性方法来区分噪声污染的确定性混沌动力学和时间相关或不相关的随机波动。在有限的时间序列中，这种方法可以有效地识别出随机和确定性的波动，从而为多个领域的科学技术提供支持。此外，对于确定性信号，量化混沌行为可能具有基本重要性，因为据认为，一些系统的混沌特性扮演着重要的功能角色，为更好地理解和/或控制产生信号的物理机制打开了大门。

翻译：Iron–sulfur (Fe–S) clusters are ubiquitous metallocofactors involved in redox chemistry, radical generation and gene regulation. Common methods to monitor Fe–S clusters include spectroscopic analysis of purified proteins and autoradiographic visualization of radiolabeled iron distribution in proteomes. Here, we report a chemoproteomic strategy that monitors changes in the reactivity of Fe–S cysteine ligands to inform on Fe–S cluster occupancy. We highlight the utility of this platform in Escherichia coli by (1) demonstrating global disruptions in Fe–S incorporation in cells cultured under iron-depleted conditions, (2) determining Fe–S client proteins reliant on five scaffold, carrier and chaperone proteins within the Isc Fe–S biogenesis pathway and (3) identifying two previously unannotated Fe–S proteins, TrhP and DppD. In summary, the chemoproteomic strategy described herein is a powerful tool that reports on Fe–S cluster incorporation directly within a native proteome, enabling the interrogation of Fe–S biogenesis pathways and the identification of previously uncharacterized Fe–S proteins.

铁硫（Fe-S）簇是普遍的金属酶因子，参与氧化还原化学、自由基生成和基因调控。监测 Fe-S 簇的常用方法包括对纯化蛋白质进行光谱分析和对放射性标记铁分布进行自辐射显像。在这里，我们报告了一种化学蛋白质组学策略，可监测 Fe-S 赖氨酸配体的反应性变化，以了解 Fe-S 簇的占有情况。我们通过在铁缺乏条件下培养的细胞中显示全局性的 Fe-S 成分破坏，确定依赖于 Isc Fe-S 生物合成途径中的

ISO_IEC_11172-1 System 标准

TITLE PAGE PROVIDED BY ISOCD 11172-1 CODING OF MOVING PICTURES AND ASSOCIATED AUDIO -- FOR DIGITAL STORAGE MEDIA AT UP TO ABOUT 1.5 Mbit/s -- Part 1: Systems CONTENTS FOREWORD 4 INTRODUCTION - PART

有一个vehicle类，vehicle_identification_number是vehicle类的私有属性用于保存vin的私有属性，number_of_wheels是vehicle类的公共属性，number_of_doors用于保存门数，set_vin（）表示vin属性的setter方法且接受一个vin字符串并将其分配给私有属性vehicle_identification_number，get_vin（）表示vin属性的getter方法，创建一个名为vin的属性，它使用getter和setter方法

好的，这是一个关于vehicle类的问题，我可以回答。以下是一个示例代码： ``` class Vehicle: def __init__(self, number_of_wheels, number_of_doors): self.number_of_wheels = number_of_wheels self.number_of_doors = num

Graph-based Natural Language Processing and Information Retrieval

Graphs are ubiquitous. There is hardly any domain in which objects and their relations cannot be intuitively represented as nodes and edges in a graph. Graph theory is a well-studied sub-discipline of

Multimedia Forensics and Security

As information technology is rapidly progressing, an enormous amount of media can be easily exchanged through Internet and other communication networks. Increasing amounts of digital image, video, and

system identification-- theory for the user(系统辨识-使用者的理论)

system identification--theory for the user second edition 系统辨识-使用者的理论

SSCP.ISC2.Systems.Security.Certified.Practitioner.Official.Study.Guide

Fully updated Study Guide for the SSCP This guide prepares you for the SSCP, Systems Security Certified Practitioner certification examination by focusing on the Common Body of Knowledge (CBK) as det

有关于力的作用点这方面的论文吗

是的，有许多关于力的作用点的论文。下面是其中几个例子： 1. "A review of force application point identification methods for human movement analysis" by M. Begon and M. R. Holmes. This paper reviews different methods for identi

Multi-Agent Machine Learning The Reinforcement Approach

This book introduces some machine learning approaches about multi-agent learning. There are a number of algorithms that are typically used for system identification, adaptive control, adaptive signal

matlab system identification

Matlab系统识别是一种利用Matlab软件进行系统建模和参数估计的方法。它可以通过对系统输入输出数据进行分析，建立数学模型，从而实现对系统的识别和预测。该方法在控制系统、信号处理、通信系统等领域得到广泛应用。

行星轮系减速器.pdf

小作坊钳工

粉丝: 155
资源: 5

上传资源快速赚钱

我的内容管理收起

我的资源快来上传第一个资源

我的收益

登录查看自己的收益

我的积分登录查看自己的积分

我的C币登录后查看C币余额

我的收藏

我的下载

下载帮助

会员权益专享

Identification，Analysis and Control of Dynamic System

评论0

会员权益专享

最新资源

Identification，Analysis and Control of Dynamic System

评论0

System Identification Toolbox系统辨识工具箱入门手册

FAM和SSCA算法的matlab源程序-detection and identification of signal

System Identification toolbox user guide系统辨识工具箱说明书

Frequency Domain System Identification Toolbox

Model Free Adaptive Control Theory and Applications

ISO_IEC_11172-1 System 标准

Graph-based Natural Language Processing and Information Retrieval

Multimedia Forensics and Security

system identification-- theory for the user(系统辨识-使用者的理论)

SSCP.ISC2.Systems.Security.Certified.Practitioner.Official.Study.Guide

有关于力的作用点这方面的论文吗

Multi-Agent Machine Learning The Reinforcement Approach

matlab system identification

行星轮系减速器.pdf

会员权益专享

最新资源