2016 American Control Conference (ACC)最新文献

Adaptive control architectures for mitigating sensor attacks in cyber-physical systems 减轻网络物理系统中传感器攻击的自适应控制体系结构

2016 American Control Conference (ACC) Pub Date : 2016-10-01 DOI: 10.1080/23335777.2016.1244562

T. Yucelen, W. Haddad, E. Feron

{"title":"Adaptive control architectures for mitigating sensor attacks in cyber-physical systems","authors":"T. Yucelen, W. Haddad, E. Feron","doi":"10.1080/23335777.2016.1244562","DOIUrl":"https://doi.org/10.1080/23335777.2016.1244562","url":null,"abstract":"The accuracy of sensor measurements is critical to the design of high performance control systems since sensor uncertainties can significantly deteriorate achievable closed-loop dynamical system performance. Sensor uncertainty can arise due to low sensor quality, sensor failure, or detrimental environmental conditions. For example, relatively cheap sensor suites are used for low-cost, small-scale unmanned vehicle applications that can result in inaccurate sensor measurements. Alternatively, sensor measurements can also be corrupted by malicious attacks if dynamical systems are controlled through large-scale, multilayered communication networks as is the case in cyber-physical systems. This paper presents several adaptive control architectures for stabilization of linear dynamical systems in the presence of sensor uncertainty and sensor attacks. Specifically, we propose new and novel adaptive controllers for state-independent and state-dependent sensor uncertainties. In particular, we show that the proposed controllers guarantee asymptotic stability of the closed-loop dynamical system when the sensor uncertainties are time-invariant and uniform ultimate boundedness when the uncertainties are time-varying. We further discuss the practicality of the proposed approaches and provide a numerical example to illustrate the efficacy of the proposed adaptive control architectures.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115700006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 65

The use of simulation in chemical process control learning and the development of PISim 模拟在化工过程控制学习中的应用及PISim的开发

2016 American Control Conference (ACC) Pub Date : 2016-08-03 DOI: 10.1109/ACC.2016.7526829

B. Postlethwaite

引用次数: 1

Model reduction for linear parameter varying systems using scaled diagonal dominance 线性参数变化系统的比例对角优势模型约简

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7525344

H. Pfifer, T. Péni

引用次数: 1

Uncertain route, destination, and traffic predictions in energy management for hybrid, plug-in, and fuel-cell vehicles 混合动力、插电式和燃料电池汽车能源管理中的不确定路线、目的地和交通预测

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7525159

D. Opila

引用次数: 13

Adaptive control of the nonlinearly parameterized limb dynamics with application to neuromuscular electrical stimulation 非线性参数化肢体动力学的自适应控制及其在神经肌肉电刺激中的应用

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7526126

Ruzhou Yang, M. Queiroz

引用次数: 7

Decoupling control of electrified turbocharged diesel engines 电动增压柴油机解耦控制

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7525583

Dezong Zhao, E. Winward, Zhijia Yang, R. Stobart, T. Steffen

引用次数: 5

Optimality of simulation-based nonlinear model reduction: Stochastic controllability perspective 基于仿真的非线性模型简化的最优性:随机可控性视角

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7526816

K. Kashima

引用次数: 3

Intrinsic Euler-Lagrange dynamics and control analysis of the ballbot 圆球机器人的内在欧拉-拉格朗日动力学及控制分析

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7526560

A. Satici, Fabio Ruggiero, V. Lippiello, B. Siciliano

引用次数: 4

LMI-based gain scheduled ILC design for linear parameter-varying systems 基于lmi的线性变参数系统增益调度ILC设计

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7524943

W. Paszke, E. Rogers, K. Gałkowski

引用次数: 2

Pre-filtering in gain-scheduled and robust control 增益调度和鲁棒控制中的预滤波

2016 American Control Conference (ACC) Pub Date : 2016-08-01 DOI: 10.1109/ACC.2016.7525488

Amit P. Pandey, Martin A. Sehr, M. D. Oliveira

{"title":"Pre-filtering in gain-scheduled and robust control","authors":"Amit P. Pandey, Martin A. Sehr, M. D. Oliveira","doi":"10.1109/ACC.2016.7525488","DOIUrl":"https://doi.org/10.1109/ACC.2016.7525488","url":null,"abstract":"We revisit the issue of gain-scheduled versus robust control with a focus on matrix inequalities. It has been established that for uncertain continuous-time linear systems that depend affinely on the uncertainty, gain-scheduled stabilizability implies robust stabilizability. That is, as far as stabilizability is concerned, using a more complex gain-scheduled controller brings no advantage. In the case of performance and discrete-time systems, counter-examples exist that show that gain-scheduling can indeed be advantageous. These proof are unfortunately not constructive, and the associated necessary and sufficient conditions are hard to verify even in low dimensions. In practice, conditions based on Linear Matrix Inequalities (LMIs) are widely used to design robust and gain scheduled controllers at the expense of some conservatism. The main goal of the present paper is to explore to what extent solvability of certain LMIs for gain-scheduled control also implies solvability of the corresponding robust control inequalities. One issue investigated in detail is that of using pre-filters to handle uncertainty appearing in the input matrix. Our results show that this technique, which has been used since the 80s is rarely productive in the sense that solvability of certain gain-scheduled control design problems for the original system augmented with a pre-filter often implies existence of a robust control for the original system, which we calculate explicitly using a projection. One exception seem to be the LMIs based on the condition of Daafouz and Bernussou (2001) for discrete-time systems. A series of examples illustrate the results.","PeriodicalId":137983,"journal":{"name":"2016 American Control Conference (ACC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126455670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9