{"title":"Applications of polynomial controllability to optimal control in linear and nonlinear systems: the vehicle kinematic model case","authors":"A. Ailon","doi":"10.1109/ACC.2006.1657549","DOIUrl":"https://doi.org/10.1109/ACC.2006.1657549","url":null,"abstract":"Previous studies have established the concept of polynomial controllability in linear time-invariant systems. This paper considers further this concept with regard to optimal control problems. Using this concept we present a simple procedure for searching a control function that minimizes a quadratic performance measure for vehicle motion control","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"111 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132966608","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}
{"title":"Neural differential tracking control in cancer model","authors":"N. Aguilar, A. Cabrera, I. Chairez","doi":"10.1109/ACC.2006.1656556","DOIUrl":"https://doi.org/10.1109/ACC.2006.1656556","url":null,"abstract":"Immunotherapy refers to the use of natural and synthetic substances to stimulate the immune response. This document provides the description on the identification process for a particular cancer mathematical model under the immunotherapy treatment by differential neural networks (DNN) and sliding mode type observer techniques. The combination of these both techniques make available a close enough following between the estimate states given by the neural network and the cancer model dynamics: these are the interleukin-2, the tumor cells and the effector cells concentrations. Besides, a feedback control design is shown using the DNN's estimated states and sliding mode control as a possible solution in the effective dose research for immunotherapy treatment. The numerical results derived by this method, implies the possibility to construct a real controller for cancer treatment using an IL-2 online sensor and an embedded system to implement the DNN scheme","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127558477","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}
{"title":"Stability of a class of uncertain fuzzy systems based on fuzzy control switching","authors":"Hong Yang, G. Dimirovski, Jun Zhao","doi":"10.1109/ACC.2006.1657355","DOIUrl":"https://doi.org/10.1109/ACC.2006.1657355","url":null,"abstract":"A switching control strategy is presented for a class of uncertain fuzzy systems. Firstly, a class of uncertain fuzzy systems is given, and in this class model the switching parallel distributed compensation controller is introduced. The single Lyapunov function and multiple Lyapunov function methods are adopted to establish the stability results for this class of fuzzy systems. Moreover, sufficient conditions for asymptotic stability are presented and stabilizing switching laws of state-dependent form are designed. A simulation using a cart-pole inverted pendulum system demonstrates the feasibility and the effectiveness of the proposed method","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087217","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}
{"title":"Experimental determination of network quality of service in Ethernet: UDP, OPC, and VPN","authors":"Jonathan Parrott, J. Moyne, D. Tilbury","doi":"10.1109/ACC.2006.1657491","DOIUrl":"https://doi.org/10.1109/ACC.2006.1657491","url":null,"abstract":"As network speeds continue to increase, the delays at the application layers can become more important than the delays on the network. These delays can be significant for control system applications, but are not often specified. Network protocol standards are often more focused on transmission reliability and correctness than on transmission delays. For many control system applications, timeliness is more important than accuracy. Recognizing the importance of the application-layer delays, this paper presents the results of a series of experiments on the quality of service in Ethernet networks. For UDP, OPC, and VPN communications, the end-to-end time delays are measured and characterized. The different factors that contribute to the delays are discussed. The paper concludes with some comments on future research directions","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132833511","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}
{"title":"On the relationship between decision uncertainty and interaction level: a new model for team optimization","authors":"D. Georgiev, P. Kabamba, D. Tilbury","doi":"10.1109/ACC.2006.1657195","DOIUrl":"https://doi.org/10.1109/ACC.2006.1657195","url":null,"abstract":"The purpose of this paper is to investigate the effects of uncertainty on interaction in the framework of team optimization. An optimization problem with multiple decision makers is considered, where there is uncertainty in the decisions made by the other decision makers. For this novel problem framework, the level of interaction and the level of uncertainty are defined, and the relationship between these two levels is derived. For a broad class of problems, it is shown that the optimal level of interaction decreases as the level of uncertainty increases. In some cases, when the uncertainty increases, the optimal level of interaction tends to zero. The optimization problem then becomes decoupled, making it less computationally intensive. The theoretical results are illustrated by an example drawn from Internet routing. The paper concludes with a short summary of the results and comments on future research directions","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132160527","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}
Florian Herzog, S. Keel, Gabriel Dondi, L. Schumann, H. Geering
{"title":"Model predictive control for portfolio selection","authors":"Florian Herzog, S. Keel, Gabriel Dondi, L. Schumann, H. Geering","doi":"10.1109/ACC.2006.1656389","DOIUrl":"https://doi.org/10.1109/ACC.2006.1656389","url":null,"abstract":"In this paper, we explain the application of model predictive control (MPC) to problems of dynamic portfolio optimization. At first we prove that MPC is a suboptimal control strategy for stochastic systems which uses the new information advantageously and thus, is better than pure optimal open-loop control. For a linear Gaussian factor model, we derive the wealth dynamics and the conditional mean and variance. We state the portfolio optimization, where an investor maximizes the mean-variance objective while keeping the portfolio value-at-risk under a given limit. The portfolio optimization is applied in a case study to US asset market data","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131440557","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}
{"title":"Self-tuning control strategy for antilock braking systems","authors":"R. Morselli, R. Zanasi","doi":"10.1109/ACC.2006.1657660","DOIUrl":"https://doi.org/10.1109/ACC.2006.1657660","url":null,"abstract":"One of the main issues of any control strategy for braking systems is to face the many uncertainties due to the strong spread of the system's parameters: road conditions, hydraulic actuators, tire behaviour, etc. Moreover, the need for cheap components limits both the number of sensors and the quality of the actuators. This paper proposes a self-tuning control strategy for braking systems. The proposed control strategy is based on two light assumptions: 1) the tire longitudinal force as a function of the tire slip has always a unique minimum; 2) the hydraulic actuators can increase, decrease and hold the braking pressure within a limited delay. Only the measure of the wheel rotational speed and the estimate of the wheel angular acceleration are required. The control strategy is tested by simulation experiments","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127638188","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}
{"title":"Local L2 Gain of Axial-Flow Compressor Control","authors":"Tiebao Yang, Xiang Chen, Henry Hu","doi":"10.1109/ACC.2006.1656356","DOIUrl":"https://doi.org/10.1109/ACC.2006.1656356","url":null,"abstract":"Feedback control has been pursued to stabilize the bifurcated operating solution near the rotating stall point in axial flow compressors. These controllers can extend the stable operating range and hence improve engine performance. However, the local L2 gain of these controllers still remains unknown. In this paper, a family of Lyapunov functions is first constructed, and then the local L2 gain is derived through Hamilton-Jacobi-Bellman (HJB) inequality for a class of stabilizing controllers with throttle position as actuator and pressure rise as measurement","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127842341","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}
{"title":"Optimal guaranteed cost control of a class of nonlinear uncertain discrete-time systems: an LMI approach","authors":"Z. Dong, Z. You","doi":"10.1109/ACC.2006.1657521","DOIUrl":"https://doi.org/10.1109/ACC.2006.1657521","url":null,"abstract":"The optimal guaranteed cost control problem for a class of nonlinear uncertain discrete-time systems is considered. A sufficient condition for the existence of guaranteed cost state feedback control is presented, and the problem of designing the optimal guaranteed cost control is converted to a convex optimization problem subjected to a certain system of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed results","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131270347","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}
{"title":"Decoupling of fast and slow variables in chemical Langevin equations with fast and slow reactions","authors":"M.-N. Contou-Carrere, P. Daoutidis","doi":"10.1109/ACC.2006.1655396","DOIUrl":"https://doi.org/10.1109/ACC.2006.1655396","url":null,"abstract":"Under the assumption of existence of a macro-scopically infinitesimal time increment, biochemical reaction network are accurately represented by chemical Langevin equation systems. In this work, we consider such networks in the presence of fast and slow reactions. With the ultimate goal of proposing a systematic framework to derive non stiff models of the slow dominant dynamics, we focus on the preliminary step of obtaining a new stochastic differential equation system with decoupled fast and slow variables in order to apply, in future work, model reduction techniques available for such systems","PeriodicalId":265903,"journal":{"name":"2006 American Control Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131689441","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}