{"title":"On a recurrence principle for a class of stochastic hybrid systems","authors":"A. Teel","doi":"10.1109/ACC.2014.6859396","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859396","url":null,"abstract":"For a class of stochastic hybrid systems, we characterize the sets to which bounded solutions converge. We show that each sample path converges to a weakly totally recurrent in probability set. This characterization is often tighter than the usual assertion that a solution converges to a weakly invariant set. Consequently, the results here can be viewed as a generalization of the invariance principle, to a broad class of stochastic hybrid systems that admit non-unique solutions.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115878907","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":"Distributed exponentially tracking control of multiple wheeled mobile robots","authors":"Chunyu Chen, F. D. L. Torre, Wenjie Dong","doi":"10.1109/ACC.2014.6858886","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858886","url":null,"abstract":"In this paper a consensus problem is considered for leader-following of multiple wheeled mobile robots. Laplacian matrix is introduced to characterize the communication topology. Since there are parameter uncertainties for each mechanical system, adaptive control method is applied for controller design of the dynamical systems. Distributed adaptive state feedback control laws are presented with the aid of the agent's neighboring information. Simulation results are presented to validate the proposed control laws.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"107 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132074633","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":"A model based Collision Avoidance algorithm for heavy commercial vehicles","authors":"V. Rajaram, S. Subramanian","doi":"10.1109/ACC.2014.6858887","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858887","url":null,"abstract":"Collision Warning and Collision Avoidance (CW/CA) systems are automotive safety technologies that assist drivers in avoiding a collision. In this paper, a collision avoidance (CA) algorithm is proposed for heavy commercial vehicles based on a safe distance and a safe relative velocity. The work presented in this paper focuses on the inclusion of important air brake system parameters such as brake time delay and brake response time in calculating the deceleration of the vehicle. The proposed algorithm also considers dynamic phenomenon such as the load transfer during braking, the dynamic brake force distribution between the wheels and the maximum braking force developed. The proposed algorithm is simulated for various real traffic scenarios and the results are found to be promising.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132470109","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}
B. Ebrahimi, R. Tafreshi, J. Mohammadpour, M. Franchek, K. Grigoriadis
{"title":"Stabilizing dynamic control design for systems with time-varying delay in control loop","authors":"B. Ebrahimi, R. Tafreshi, J. Mohammadpour, M. Franchek, K. Grigoriadis","doi":"10.1109/ACC.2014.6859299","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859299","url":null,"abstract":"Synthesis of nth-order dynamic systems with time-varying delay in the control loop is considered in this paper. First-order Padé approximation is sought to solve the infinite-dimensional problem of the pure delay. Although the approximation describes the problem in a finite-dimensional state space, it poses internal dynamics instability inherited from the resulted non-minimum phase system. The unstable internal dynamics restricts the system closed-loop bandwidth and leads to an imperfect tracking performance. To circumvent this problem, the overall system dynamics is explored in terms of unstable internal dynamics and input/output pairs. The system internal dynamics is used to design a parameter-varying dynamic compensator which stabilizes the internal dynamics based on a desired tracking error profile. The presented dynamic compensator is used to develop a dynamic controller whose parameter-varying gains are explicitly determined in a systematic and straightforward manner. The proposed approach is used to design a controller for a spark ignition lean-burn engine with large time-varying delay in the control loop. The results are demonstrated against a baseline PI controller combined with a parameter-varying Smith predictor to compensate for the time-varying delay.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132470206","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":"Reconfigurable Fault Tolerant Control for nonlinear aircraft based on concurrent SMC-NN adaptor","authors":"Yimeng Tang, R. Patton","doi":"10.1109/ACC.2014.6858744","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858744","url":null,"abstract":"This work focuses on an improved reconfigurable Fault Tolerant Flight Control (FTFC) strategy based on a traditional model reference Neural Network (NN) adaptive flight control architecture. An expanded control scheme is developed by using a concurrent learning NN strategy combined with the Sliding Mode Control (SMC) theory. The improved NN using concurrent update information to compensate for model inversion error is described for the full dynamic characteristics of the aircraft system. The SMC is implemented to treat the NN as a controlled system and allows a stable, dynamic calculation of the learning rates. The proposed reconfigurable FTFC system based on concurrent SMC-NN adaptor is tested on a nonlinear Unmanned Aerial Vehicle (UAV), the Machan UAV, in the presence of fault and disturbance scenarios. The results show that the designed controller achieves better adaptive performance by using the SMC in on-line concurrent NN learning law.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132532223","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":"Fractional order iterative learning control for fractional order system with unknown initialization","authors":"Yan Li, Y. Chen, H. Ahn","doi":"10.1109/ACC.2014.6859010","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859010","url":null,"abstract":"This paper reveals a previously ignored problem for fractional order iterative learning control (FOILC) that the fractional order system may have different behaviors when it is initialized differently. To implement a novel scheme of FOILC for this so-called initialized fractional order system, a Dα-type control law is applied, and the convergence condition is derived by using the short memory principle and the system preconditioning, which guarantees the repeatability of initialized fractional order system. Given a permitted error bound, the minimum preconditioning time horizon is calculated from the short memory principle. The relationships of memory and convergent performance are highlighted to show the necessity of preconditioning. A fractional order capacitor model with constant history function is illustrated to support the above conclusions.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132541019","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":"Comparison of parametric and non-parametric approaches for vehicle speed prediction","authors":"S. Lefèvre, Chao Sun, R. Bajcsy, C. Laugier","doi":"10.1109/ACC.2014.6858871","DOIUrl":"https://doi.org/10.1109/ACC.2014.6858871","url":null,"abstract":"Predicting the future speed of the ego-vehicle is a necessary component of many Intelligent Transportation Systems (ITS) applications, in particular for safety and energy management systems. In the last four decades many parametric speed prediction models have been proposed, the most advanced ones being developed for use in traffic simulators. More recently non-parametric approaches have been applied to closely related problems in robotics. This paper presents a comparative evaluation of parametric and non-parametric approaches for speed prediction during highway driving. Real driving data is used for the evaluation, and both short-term and long-term predictions are tested. The results show that the relative performance of the different models vary strongly with the prediction horizon. This should be taken into account when selecting a prediction model for a given ITS application.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130167588","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":"Fault detection and isolation in hybrid process systems using a combined data-driven and observer-design methodology","authors":"Chudong Tong, N. El‐Farra, A. Palazoglu","doi":"10.1109/ACC.2014.6859103","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859103","url":null,"abstract":"A combined data-driven and observer-design methodology for fault detection and isolation (FDI) in hybrid process systems with switching operating modes is proposed in this work. The main contribution is to construct a unified framework for FDI by integrating Gaussian mixture models (GMM), subspace model identification (SMI), and results from unknown input observer (UIO) theory. Initially, a GMM is built to identify and describe the multimodality of hybrid systems by using the recorded input/output process data. A state-space model is then obtained for each specific operating mode based on SMI if the system matrices are unknown. An UIO is designed to estimate the system states robustly, based on which the fault detection is laid out through a multivariate analysis of the residuals. Finally, by designing a set of unknown input matrices for specific fault scenarios, fault isolation is carried out through the disturbance-decoupling principle from the UIO theory. A significant benefit of the developed framework is to overcome some of the limitations associated with individual model-based and data-based approaches in dealing with the problem of FDI in hybrid systems. Finally, the validity and effectiveness of the proposed monitoring framework are demonstrated using a simulation example.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130223274","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 control for linear and nonlinear semistabilization","authors":"Andrea L’Afflitto, W. Haddad, Qing Hui","doi":"10.1109/ACC.2014.6859343","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859343","url":null,"abstract":"The state feedback linear-quadratic optimal control problem for asymptotic stabilization has been extensively studied in the literature. In this paper, the optimal linear and nonlinear control problem is extended to address a weaker version of closed-loop stability, namely, semistability, which involves convergent trajectories and Lyapunov stable equilibria and which is of paramount importance for consensus control of network dynamical systems. Specifically, we show that the optimal semistable state-feedback controller can be solved using a form of the Hamilton-Jacobi-Bellman conditions that does not require the cost-to-go function to be sign-definite. This result is then used to solve the optimal linear-quadratic regulator problem using a Riccati equation approach.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134034954","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":"Convex optimization formulation of density upper bound constraints in Markov chain synthesis","authors":"Nazlı Demir, Behçet Açikmese, M. Harris","doi":"10.1109/ACC.2014.6859065","DOIUrl":"https://doi.org/10.1109/ACC.2014.6859065","url":null,"abstract":"This paper introduces a new approach for the synthesis of Markov chains with density upper bound constraints. The proposed approach is based on a new mathematical result that formulates the density upper bound constraints, known also as safety constraints, as linear, and hence convex, inequality constraints. It is proved that the new convex constraints are equivalent, necessary and sufficient, to the density upper bound constraints, which is the main contribution. Next, this result enabled the formulation of the Markov chain synthesis problem as an Linear Matrix Inequality (LMI) optimization problem with additional constraints on the steady state probability distribution, ergodicity, and state transitions. The LMI formulation presents an equivalent design formulation in the case of reversible Markov chains, that is, it is not conservative. When reversibility assumption is relaxed, the LMI condition is only sufficient due to the ergodicity constraint, i.e., it is conservative. Since LMI problems can be solved to global optimality in polynomial time by using interior point method (IPM) algorithms of convex optimization, the proposed LMI-based design approach is numerically tractable.","PeriodicalId":369729,"journal":{"name":"2014 American Control Conference","volume":"494 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134109957","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}