{"title":"Stability analysis of networked control systems with uncertain packet-loss probability","authors":"L. Su, G. Chesi","doi":"10.23919/SICEISCS.2018.8330151","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330151","url":null,"abstract":"This paper is concerned with the robust stability in the mean square sense of networked control systems subject to packet dropout with uncertain probability. Both cases of time-invariant and time-varying uncertain probability with an upper bound are considered by introducing different classes of parameter-dependent Lyapunov functions. For time-invariant uncertain packet-loss probability, a new necessary and sufficient condition which can be solved by LMIs is proposed for the mean-square stability, and the largest upper bound of the packet-loss probability can be therefore obtained. For time-varying uncertain packet-loss probability, a sufficient condition in the form of LMIs is derived. Moreover, the proposed methodologies are further developed for the case where there are multiple packet-loss channels with respective uncertain probability under the parallel transmission strategy.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658776","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 energy storage evaluation of a solar powered sustainable energy system","authors":"E. Constant, K. Thanapalan, M. Bowkett","doi":"10.23919/SICEISCS.2018.8330175","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330175","url":null,"abstract":"This paper provides an advanced optimal energy storage evaluation of a solar powered sustainable energy system. This work contains an investigation to examine the Li-ion and lead-acid batteries capabilities with reference to cost — benefit analysis. The results indicate that the lead-acid battery is the best option for the solar powered sustainable energy system for buildings and Li-ion battery is suitable for the mobile stand-alone PV system described in this paper.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127797509","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":"Control of driftless systems using piecewise constant inputs","authors":"D. Gromov, F. Castaños","doi":"10.23919/SICEISCS.2018.8330180","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330180","url":null,"abstract":"In this paper we use geometric tools to establish controllability properties of driftless systems which have less control inputs than states, but whose input vector fields span a non-involutive distribution. Our prototypical class of systems is conformed by kinematic models of non-holonomic systems such as the unicycle or a car with N trailers. We restrict our class of inputs to those which are piecewise constant. The restriction gives way to an easy implementation in discrete time and allows to formulate control problems as systems of polynomial equations. The control problems can then be addressed using geometric-algebraic tools and can be solved explicitly using symbolic computational software if their size is reasonable.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131389896","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":"Efficient disturbance rejection for dead-time processes using internal model control","authors":"R. D. De Keyser, C. Muresan, C. Ionescu","doi":"10.23919/SICEISCS.2018.8330178","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330178","url":null,"abstract":"Dead-time processes are quite frequent in industrial applications. Because of its simple tuning procedure and good set-point tracking capabilities, Internal Model Control (IMC) has established good results for these processes. However, disturbance rejection is an important issue in process control, especially in delayed systems. The basic tuning rules for IMC exhibits rather sluggish disturbance rejection performance, especially for delay dominant processes (i.e. the relative delay to the process time constant). In this paper we propose a special tuning for effective disturbance rejection with IMC. The proposed disturbance filter compensates nicely for the dead-time, when stochastic disturbance signals have their main spectral energy in a limited frequency interval. The tuning method is using the Diophantine equations to determine the disturbance filter coefficients. Simulation results demonstrate the effectiveness of the proposed approach, as well as its intrinsic robustness when compared to the basic IMC tuning.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124436563","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. Muhammad, K. Z. M. Azmi, Z. Ibrahim, Ahmad Afif bin Mohd Faudzi, Dwi Pebrianti
{"title":"Simultaneous computation of model order and parameter estimation for system identification based on opposition-based simulated Kalman filter","authors":"B. Muhammad, K. Z. M. Azmi, Z. Ibrahim, Ahmad Afif bin Mohd Faudzi, Dwi Pebrianti","doi":"10.23919/SICEISCS.2018.8330163","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330163","url":null,"abstract":"System identification is a technique used to obtain a mathematical model of a system by performing analysis on input and output behavior of the system. Simultaneous Model Order and Parameter Estimation (SMOPE) has been proposed to address system identification problem efficiently using optimization algorithms. The technique enables the computation of model order and parameters values to be done concurrently. The performance of SMOPE has been tested using particle swarm optimization (PSO) and gravitational search algorithm. However, the performance was worse than conventional ARX method. Current optimum opposition-based simulated Kalman filter (COOBSKF) is an improved version of simulated Kalman filter (SKF) which employs the concept of current optimum opposition-based learning (COOBL). Therefore, the objective of this paper is to test the effectiveness of the COOBSKF in solving system identification problem throughout SMOPE. Experiments are conducted on six system identification problems. The obtained outcomes showed that the performance of the SMOPE using COOBSKF is better than other SMOPE-based approaches.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117266295","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":"Nonlinear system identification by affine coordinate unification of locally identified MIMO linear systems","authors":"K. Nomura, Y. Yamashita, Koichi Kobayashi","doi":"10.23919/SICEISCS.2018.8330179","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330179","url":null,"abstract":"In this study, an identification method of a state-space model, which describes the quasi-steady behavior of a multi-input-multi-output (MIMO) nonlinear system, is investigated. At several steady points, local linear statespace models with input and output offsets are identified by a subspace identification method. We propose a state-space unification method of the identified local linear models, where an affine transformation is introduced for each pair of adjacent local systems. The affine transformations are chosen by using similarities of the system expressions. The matrices and offsets of the affine transformations are uniquely calculated by the least-squares method. Our method considers the change of steady points by the offset terms in the affine transformations. By the transformations, a linear parameter-varying system model with bias terms is obtained. The parameter is determined by the value of the unified state, and therefore we can finally obtain a nonlinear dynamical model, which is valid around the equilibria set. A numerical simulation is shown for confirming an availability of this method.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130089322","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}
I. R. Hill, Muhammed Mangera, Dushil S. Parshotam, Aarti Panday, J. Pedro
{"title":"Genetic algorithm based design of PID and PDF controllers for velocity tracking of a high-rise building elevator","authors":"I. R. Hill, Muhammed Mangera, Dushil S. Parshotam, Aarti Panday, J. Pedro","doi":"10.23919/SICEISCS.2018.8330167","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330167","url":null,"abstract":"The objective of this investigation was to develop and analyse genetic algorithm-optimised proportional-integral-derivative and pseudo-derivative feedback controllers, which modulate the operation of a 100 m tall building elevator system. The genetic algorithm aimed to identify the optimal gains for each controller that provide the best elevator performance, while still meeting the necessary safety, comfort and disturbance rejection requirements and constraints. While both controllers ensured that the 3200 kg elevator car reached the top floor within the required time of 65 s, it was clear that the pseudo-derivative feedback controller exhibited better performance. The proposed control scheme surpassed its counterpart in terms of solution fitness, run time for the genetic algorithm, rise time, settling time, arrival time, sensitivity to car mass variations and disturbance rejection.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114797986","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":"Disturbance observer and ageing estimation for a temperature controlled food transporter","authors":"Elisabeth Luchini, M. Kozek","doi":"10.23919/SICEISCS.2018.8330162","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330162","url":null,"abstract":"Temperature control of a food transport system with an insulated cool box (ICB) can be efficiently provided by model predictive control (MPC). However, disturbances like solar irradiation or deterioration of the heat transfer coefficient α of the ICB are typically not detected by sensors. In this paper a disturbance observer for solar irradiation is used to design a fast sampled disturbance compensation obtaining a fast response of the system. Two specific characteristics of the disturbance are utilized to estimate α: 1) During nighttime solar irradiation has its minimum. 2) α declines at a very slow rate. The MPC, irradiation estimation, and α estimation are implemented with different sampling rates. This enables separate and robust estimation and efficient implementation. The system and control architecture is presented, the concept of the observer and estimation is given and simulation results demonstrate the performance of the concept.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114714236","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":"Hybrid optimal control for linear discrete-time systems by simultaneous optimization approach of system states and mode distributions","authors":"G. Nakura","doi":"10.23919/SICEISCS.2018.8330171","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330171","url":null,"abstract":"In this paper, we study optimal control problems for linear discrete-time hybrid systems. We adopt an approach to prepare some candidates of mode distributions and minimize value functions at each time for the systems and performance indices to optimize system states and mode distributions simultaneously. We state a class of principles of hybrid optimality, which gives a theoretical base of the approach. We consider optimal control problems for averaged systems and averaged performance indices throughout mode distributions to solve the original control problems. Finally we present numerical examples and verify that we can obtain both optimal control performance and optimal candidate of mode distributions by the algorithm presented in this paper.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126724117","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 dual objective control of energy storage systems","authors":"He Cai, G. Hu","doi":"10.23919/SICEISCS.2018.8330177","DOIUrl":"https://doi.org/10.23919/SICEISCS.2018.8330177","url":null,"abstract":"In this paper, a dual objective control problem is considered for energy storage systems. On one hand, the power output of the overall energy storage system should meet its reference. On the other hand, the state-of-energy of all the energy storage units should be balanced so as to maintain the maximum system power capacity. To achieve these two control objectives simultaneously, two distributed control approaches have been proposed depending on the uniformity of the energy capacities of the energy storage units. Case studies are provided to validate the effectiveness of the proposed control approaches.","PeriodicalId":122301,"journal":{"name":"2018 SICE International Symposium on Control Systems (SICE ISCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128113878","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}