{"title":"Video Transmission Control for Networked Vision System Based on RTCP","authors":"Aolei Yang, Liangxiang Liu, Ling Chen","doi":"10.1109/ANZCC.2018.8606560","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606560","url":null,"abstract":"The video quality in networked vision system is easily affected by the network congestion in the real-time video transmission process. When the machine vision network is congested, the video sending strategy must be adjusted to deal with changes in the network environment. To solve this problem, a rate control strategy based on RTCP control message is proposed. Experimental results show that this strategy can effectively reduce the packet loss rate of data during video transmission, adapt to network carrying capacity, and improve the transmission quality of real-time vision information.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754824","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 Novel Exponential Reaching Law for Sliding Mode Control of Discrete-time System with Disturbance","authors":"Qian Xu, J. Song, T. Yan, H. Du, B. He, Weihua Li","doi":"10.1109/ANZCC.2018.8606619","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606619","url":null,"abstract":"In this paper, a novel reaching law for discrete-time sliding-mode control system is proposed. In the proposed method, the proportional term is replaced by an exponential term that dynamically adapts to the variation of the sliding variable. The proposed reaching law in this paper has two merits, one is to ensure the stability and better robustness of the controlled plant than the existing approaches, and another is effectively eliminating undesirable chattering. And when the sliding variable tends to zero, the ultimate magnitude of the trajectory of system state around sliding surface in the proposed method is smaller than in previous approach. The simulation results validated the feasibility and reasonability of proposed method.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"58 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121002038","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":"Sampled-data stabilization for a class of stochastic nonlinear systems with Markovian switching based on the approximate discrete-time models*","authors":"Peilong Yu, Yu Kang, Qianqian Zhang","doi":"10.1109/ANZCC.2018.8606612","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606612","url":null,"abstract":"The mean-square exponential stability of a class of stochastic differential equations with Markovian switching(SDEwMS) by sampled-data control is investigated. We introduce a new controller design idea for such kind of systems based on its approximate discrete-time model(ADTM). Comparing with the existing results, this controller design method(CDM) is simpler and easier to calculate. Meanwhile, We study the multi-step model error between the SDEwMS and its Euler-Maruyama(EM) model. The effectiveness of our results is demonstrated by a numerical simulation.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845060","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":"Diagonal Dominance with Strict Constraint*","authors":"Yuanjie Fang, M. Fei, D. Du","doi":"10.1109/ANZCC.2018.8606581","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606581","url":null,"abstract":"For the traditional diagonal dominance algorithms unconstrained the non-diagonal elements, a strict constraint of diagonal dominance is proposed in the paper. Contrary to the normal definition, the novel definition of strict diagonal dominance restricts the max non-diagonal elements, and the definition of strict Gershgorin discs is also discussed. To achieve diagonal dominance the compensating matrix search algorithm based on trial and error is introduced in the paper. Example of compensating search algorithm is applied to support the proposed method, and the results obtained are comparable with normal method. It gives a novel way to define the diagonal dominance.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121080349","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":"3D Gesture Recognition Method Based on Faster R-CNN Network*","authors":"Hua Chai, M. Fei, Aolei Yang, Ling Chen","doi":"10.1109/ANZCC.2018.8606613","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606613","url":null,"abstract":"The traditional static gesture recognition algorithm is easily affected by the complex environment which can cause low recognition rate. Therefore, an improved Faster R-CNN network is adopted to improve the gesture recognition accuracy based on 3D TOF (Time of Flight) camera. The contribution of this paper includes: 1) The group own TOF camera is used for data acquisition of 300 images for each of the five gestures, and the images collected by the TOF camera can reduce the effect of complex environments and provide depth information of gestures; 2) The gesture classification is improved by adding the Inception v3 in the Faster R-CNN. Experiments are carried out to show that the improved network has higher accuracy and stronger robustness, compared with traditional Faster R-CNN, and the localization of gestures in space is accurate with a small number of datasets.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126588656","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}
U. B. Tayab, Fuwen Yang, Mohamed El-Hendawi, Junwei Lu
{"title":"Energy Management System for a Grid-Connected Microgrid with Photovoltaic and Battery Energy Storage System","authors":"U. B. Tayab, Fuwen Yang, Mohamed El-Hendawi, Junwei Lu","doi":"10.1109/ANZCC.2018.8606557","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606557","url":null,"abstract":"A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loads that can operate in either islanded or grid-connected mode. Renewable resources should be scheduled to manage load demand and power flow within MG. This paper presents a MG energy management system (M-EMS) for grid-connected photovoltaic (PV) and battery energy storage system (BESS) based hybrid MG. The proposed M-EMS consists of two modules, namely, forecasting and optimisation. The forecasting module is responsible for predicting solar irradiance, temperature and load demand, whereas the optimisation module performs optimal day-ahead scheduling of power generation and load demand in a grid-connected MG for economical operation. The proposed M-EMS for grid-connected hybrid PV-BESS MG is verified using MATLAB/Simulink. Simulation results indicate the efficiency and effectiveness of the proposed method for understudy case.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"11 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126006783","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}
X. Jiang, T. Yan, Q. Xu, B. He, Haiping Du, Weihua Li
{"title":"Remote Sensing Image Scene Classification Based on Densely Connected Multilayer Kernel ELM","authors":"X. Jiang, T. Yan, Q. Xu, B. He, Haiping Du, Weihua Li","doi":"10.1109/ANZCC.2018.8606551","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606551","url":null,"abstract":"The remote sensing images are captured by high-altitude satellites, and the coverage of each image scene is relatively large. It tends to have large intraclass differences and small differences between classes. Using conventional Hierarchical ELM (H-ELM) and multilayer kernel ELM (ML-KELM) to classify remote sensing image scenes, the network structure of the learning model is deep and the parameters are many. This leads to long training time and large memory consumption. In order to solve this problem, based on the ML-KELM, this paper proposes a densely connected kernel ELM (Dense-KELM) learning model, which is used to classify remote sensing image scenes. Experimental results show that at the same model depth, the Dense-KELM model has higher classification accuracy in remote sensing image scenes than the H-ELM and the ML-KELM. Its training time is slightly larger than the ML-KELM but much smaller than the H-ELM. This densely connected learning model can extract high-level features of remote sensing images more effectively, represent the details between remote sensing scenes, and improve the classification accuracy of remote sensing image scenes. Moreover, the densely connected network structure can effectively reduce the number of parameters of the depth model, improve the training speed of the model, and save the storage space of the model.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115258490","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":"Robust Output Feedback Control Design for a Class of AUVs","authors":"H. Ali, A. Memon","doi":"10.1109/ANZCC.2018.8606567","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606567","url":null,"abstract":"In this paper, a robust output feedback stabilization for a class of Autonomous Underwater Vehicle (AUV) is investigated. Two cases for, nonlinear, decoupled equations of motion of AUV in steering plane are considered in this work. In the first scenario, where all states are measurable, semi-global asymptotic stability for a class of AUV is shown by proposing a state-feedback controller based on Sliding Mode Control (SMC). The stability analysis is evaluated under model uncertainties and parametric variations. Then for the second case, Extended High-Gain Observer (EHGO), augmented with Extended Kalman Filter (EKF) is used to estimate the immeasurable states. It is shown that the states of the closed-loop system with output feedback controller, approach the invariant manifold in finite time and stay there. Efficacy of the proposed controllers is demonstrated with the help of numerical simulations.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994998","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":"Dissipative Linear Stochastic Hamiltonian Systems*","authors":"I. Vladimirov, I. Petersen","doi":"10.1109/ANZCC.2018.8606559","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606559","url":null,"abstract":"This paper is concerned with stochastic Hamiltonian systems which model a class of open dynamical systems subject to random external forces. Their dynamics are governed by Ito stochastic differential equations whose structure is specified by a Hamiltonian, viscous damping parameters and system-environment coupling functions. We consider energy balance relations for such systems with an emphasis on linear stochastic Hamiltonian (LSH) systems with quadratic Hamiltonians and linear coupling. For LSH systems, we also discuss stability conditions, the structure of the invariant measure and its relation with stochastic versions of the virial theorem. Using Lyapunov functions, organised as deformed Hamiltonians, dissipation relations are also considered for LSH systems driven by statistically uncertain external forces. An application of these results to feedback connections of LSH systems is outlined.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115345358","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 Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems","authors":"Tianci Yang, C. Murguia, M. Kuijper, D. Nešić","doi":"10.1109/ANZCC.2018.8606587","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606587","url":null,"abstract":"We address the problem of attack detection and isolation for a class of discrete-time nonlinear systems under (potentially unbounded) sensor attacks and measurement noise. We consider the case when a subset of sensors is subject to additive false data injection attacks. Using a bank of observers, each observer leading to an Input-to-State Stable (ISS) estimation error, we propose two algorithms for detecting and isolating sensor attacks. These algorithms make use of the ISS property of the observers to check whether the trajectories of observers are \"consistent\" with the attack-free trajectories of the system. Simulations results are presented to illustrate the performance of the proposed algorithms.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125261774","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}