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Chinese control Conference (CCC)

作者： Kai Li Hansong Yu Shangtai Jin Zhongsheng Hou Advanced Control Systems Lab Beijing Jiaotong University Beijing China

In order to alleviate the congestion between the side road and the freeway, a novel balancing control scheme is proposed based on model free adaptive predictive balancing control (MFAPBC). The proposed MFAPBC is a typical data driven control method, which merely utilize the measured input and output (I/O) data of side road and freeway to update the control input signal. Model free adaptive predictive control (MFAPC) has the advantages of model predictive control (MPC) and model free adaptive control (MFAC); that is, only the I/O data of the controlled plant are used to predict the system output sequence within the prediction horizon and to calculate the control input sequence within the control input horizon, without the controlled plant model involved. The effectiveness of the proposed MFAPBC method is test in simulation for side road and freeway system.

关键词： Roads Traffic control Adaptation models Predictive models Mathematical model Data models Prediction algorithms

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Finite-time guidance laws for landing process of a spacecraft subjected to disturbances

Finite-time guidance laws for landing process of a spacecraf...

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International Conference on control, Instrumentation, and Automation

作者： Ali Abooee Masoud Moravej Khorasani Mohammad Haeri Advanced Control Systems Lab Sharif University of Technology Tehran Iran

This paper investigates the finite-time landing of a spacecraft on a celestial target subjected to disturbances and air drag forces. Based on nonsingular fast terminal sliding mode control, a novel guidance law is designed to accomplish the landing goal within a specified finite time while the upper bound of disturbances is assumed to be known. Finally, a numerical example of the spacecraft landing problem is simulated by applying the proposed scheme. The obtained results illustrate that the designed guidance law can achieve the landing goal in the specified finite time.

关键词： Space vehicles Atmospheric modeling Stability analysis Nonlinear systems Sliding mode control Convergence Mathematical model

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Two-Region Macroscopic Traffic Network Perimeter control via Model Free Adaptive control based Strategy

Two-Region Macroscopic Traffic Network Perimeter Control via...

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Asian control Conference

作者： Ye Ren Zhongsheng Hou Ting Lei Advanced Control Systems Lab Beijing Jiaotong University Beijing China

ISBN: (纸本)9781509015740;9781509015733

In this paper, the two-region macroscopic traffic perimeter control problem is addressed by a novel data-driven strategy, called model free adaptive control based perimeter control (MFAC-PC). Firstly, utilizing Macroscopic Fundamental Diagram (MFD), the modified network dynamics are presented by adding region capacity and car number constraint to the transfer flow term. Then, a data-driven perimeter control strategy is designed by using MFAC. Different from the model-based method, this strategy possesses the advantage that only the measurable input and output (I/O) data of the regions are required in the controller design. Finally, the network with MFD observed in Yokohama is simulated and the greedy control is used as comparison. The testing results show that the proposed strategy significantly reduces the congestion and is more efficient than greedy control.

关键词： Model free adaptive control Perimeter control MFD

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Identification of fractional order model structures using conversion of infinite terms of a response to finite terms

Identification of fractional order model structures using co...

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7th International Conference on Electrical and Electronics Engineering, ELECO 2011

作者： Nazarian, Peyman Haeri, Mohammad Electrical Engineering Department Zanjan Branch Islamic Azad University Zanjan Iran Advanced Control Systems Lab. Electrical Engineering Department Sharif University of Technology Tehran Iran

ISBN: (纸本)9786050102048

In this paper, a new method is proposed to determine parameters of some types of fractional order models to represent a system dynamics using its step response. The model structure is assumed to have rational commensurateorder as α = M/N . By this assumption infinite terms of the model step response is converted into finite terms limited to N. The proposed method is practically applicable on all fractional order model structures due to the order approximation imposed by the limited precisions in available computational tools. © 2011 Chamber of Turkish Electric.

关键词： Model structures

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Free-chattering robust finite time tracking for connected double integrator nonlinear systems

Free-chattering robust finite time tracking for connected do...

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International Conference on control, Instrumentation, and Automation

作者： Ali Abooee Masoud Moravej Khorasani Mohammad Haeri Advanced Control Systems Lab Sharif University of Technology Tehran Iran

In this paper, a new form of generalized nonsingular fast terminal sliding mode control approach is proposed to provide the finite time tracking in connected chain of double integrator nonlinear systems subjected to additive bounded unknown uncertainties, disturbances, and internal interactions. The proposed approach presents an adjustable finite time for achieving the tracking goal which is a summation of two separate tunable times including finite reaching time and finite settling time. Tuning of the total finite time is done by adjusting arbitrary parameters in the control inputs and sliding surfaces. The high frequency switching of the control method is removed by applying a second order generalized nonsingular fast terminal sliding mode control scheme.

关键词： Nonlinear systems Convergence Uncertainty Asymptotic stability Sliding mode control Trajectory

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Findings on Queue Length Based Macroscopic Fundamental Diagrams with Enhanced Floating Car Estimation Method

Findings on Queue Length Based Macroscopic Fundamental Diagr...

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Chinese control Conference (CCC)

作者： Junwei Kong Zhongsheng Hou Ye Ren Advanced Control Systems Lab Beijing Jiaotong University Beijing China

In recent research, the macroscopic fundamental diagram (MFD) has been proved to be a powerful tool for large urban network modelling and control. This paper proposes a novel concept of queue length based MFD (QMFD) considering the fact that queue length is usually regarded as an important index to evaluate the efficiency of intersections. Compared to traditional MFD, the QMFD can reflect the traffic status more intuitively and can be understood more easily by transportation managers and residents. However, the queue length of some links may not be obtained directly in real situations if no fixed detector is available. To solve this problem, this paper proposes a floating car data (FCD) based method to estimate the QMFD. Firstly, a new queue length estimation method is developed by using BP neural network with different floating car percentage. Secondly, based on the estimated queue length, QMFD is calculated by fitting the relationship between the average queue length and other macroscopic traffic parameters such as average flow at intersections. Finally, the proposed method is verified by the traffic data provided by traffic simulation software VISSIM with the real road networks of Beijing's Second Ring Road. The simulation results demonstrate the effectiveness of the proposed queue length estimation method, and also reveal the existence of QMFD.

关键词： Automobiles Neural networks Roads Estimation Training Detectors Fitting

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A constructive procedure based on dynamic scaling for adaptive control of nonlinearly parameterized nonlinear systems

A constructive procedure based on dynamic scaling for adapti...

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作者： Liu, Xiangbin Ortega, Romeo Su, Hongye Chu, Jian Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China Laboratoire des Signaux et Systèmes CNRS SUPELEC 91192 Gif-sur-Yvette France State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9783902661937

A new framework to design immersion and invariance adaptive controllers for nonlinearly parameterized, nonlinear systems was recently proposed by the authors. The key step is the construction of a monotone mapping, via a suitable selection of a controller tuning function, which has to satisfy some integrability conditions|this translates into the need to solve a partial differential equation (PDE). In this paper this result is extended providing some answers to the questions of characterization of "monotonizable" systems and solvability of the PDE. First, adding to the design a nonlinear dynamic scaling, we obviate the need to solve the PDE. Second, for the case of factorizable nonlinearities, the following results are established. (i) It is shown that the monotonicity condition is satisfied if a linear matrix inequality is feasible. (ii) Directly verifiable involutivity conditions that ensure the solution of the PDE are presented. (iii) An explicit formula for the required tuning function is given, provided the regressor matrix satisfies some rank conditions. Hence, adding a dynamic scaling, this yields a constructive solution to the problem. © 2011 IFAC.

关键词： Nonlinear systems

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A controller-Dynamic-Linearization-Based Model Predictive control Approach for SISO Discrete-time Nonlinear systems

A Controller-Dynamic-Linearization-Based Model Predictive Co...

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Asian control Conference

作者： Hansong Yu Zhongsheng Hou Xian Yu Advanced Control Systems Lab of the School of Electronic and Information Engineering Beijing Jiao-tong University Beijing China Advanced Control Systems Lab Beijing Jiaotong University Beijing China

ISBN: (纸本)9781728102634

In this paper, a novel model predictive control based on the dynamic linearization technology is proposed for a class of single-input and single-output nonlinear discrete-time systems. By using the compact form dynamic linearization method, the designed controller is in advance constructed as a parameterized control law, which is an equivalent expression of an ideal controller. Instead of optimizing a sequence of control inputs for the traditional model predictive control, the issue is transformed into the parameter optimization of the constructed control law under the model predictive control scheme in closed loop. The effectiveness of the proposed model predictive control is demonstrated by a numerical example on discrete-time linear and nonlinear system through comparing with the traditional model predictive control.

关键词： Optimization Linear systems Predictive control Nonlinear systems Predictive models Trajectory

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An Anticipatory Terminal Iterative Learning control Approach with Applications to Constrained Batch Processes

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Chinese Journal of Chemical Engineering 2013年第3期21卷 271-275页

作者：池荣虎张德霞刘喜梅侯忠生金尚泰 School of Automation & Electronic Engineering Qingdao University of Science & Technology Qingdao 266042 China Advanced Control Systems Lab Beijing Jiaotong University Beijing 100044 China

This work presents an anticipatory terminal iterative learning control scheme for a class of batch proc- esses, where only the final system output is measurable and the control input is constant in each operations. The propgsed approach works well with input constraints provided that the desired control input with respect to the desired trajectory is within the samratiorl bound. The tracking error convergence is established with rigorous mathe- matical analysis. Simulation results .are provided to showthe effectiveness, of the proposed approach.

关键词： "terminal iterative learning control batch-to-batch processes input saturation convergence analysis

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Decentralized Model-Free Adaptive control for Signalized Intersections Network

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IFAC Proceedings Volumes 2013年第13期46卷 88-93页

作者： Yongqiang Li Zhongsheng Hou Jiangen Hao Advanced Control Systems Lab School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China

Signalized intersections network consists of signalized intersections, which is characterized by large scale level. Decentralized control scheme is appropriate to deal with such systems, whose design and application are simpler and more practical than centralized controllers. The same as other large scale systems, it is difficult to get an accurate model of signalized intersections network; meanwhile, it has its own characteristics. The prominent one is that interactions between intersections (subsystems) are easily measured. Considering the two characteristics, we propose a new decentralized control method based on MFAC scheme. Thanks to MFAC scheme, the mechanism model is not needed. Because interactions are easily measured, our method views interactions as measurable disturbances. This just partially uses information of interactions because we do not attempt to force interactions to be some desired values. Using PARAMICS, the simulation study verifies the effectiveness of our control method.

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