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Robust and accurate optimal transportation map by self-adaptive sampling Research Articles

Yingshi Wang, Xiaopeng Zheng, Wei Chen, Xin Qi, Yuxue Ren, Na Lei, Xianfeng Gu,nalei@dlut.edu.cn,gu@cs.stonybrook.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1207-1220 doi: 10.1631/FITEE.2000250

Abstract: plays a fundamental role in many fields in engineering and medicine, including surface parameterization in graphics, registration in computer vision, and generative models in deep learning. For quadratic distance cost, map is the gradient of the Brenier potential, which can be obtained by solving the . Furthermore, it is induced to a geometric convex optimization problem. The is highly non-linear, and during the solving process, the intermediate solutions have to be strictly convex. Specifically, the accuracy of the discrete solution heavily depends on the sampling pattern of the target measure. In this work, we propose a algorithm which greatly reduces the sampling bias and improves the accuracy and robustness of the discrete solutions. Experimental results demonstrate the efficiency and efficacy of our method.

Keywords： 最优传输；Monge-Ampère方程；自适应采样    

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Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: We present a novel indirect adaptive fuzzy-regulated optimal control scheme for continuous-time nonlinear systems with unknown dynamics, mismatches, and disturbances. Initially, the Hamilton-Jacobi-Bellman (HJB) equation associated with its performance function is derived for the original nonlinear systems. Unlike existing adaptive dynamic programming (ADP) approaches, this scheme uses a special non-quadratic variable performance function as the reinforcement medium in the actor-critic architecture. An adaptive structure is correspondingly constructed to configure the weighting matrix of the performance function for the purpose of approximating and balancing the HJB equation. A concurrent self-organizing learning technique is designed to adaptively update the critic weights. Based on this particular critic, an adaptive optimal feedback controller is developed as the actor with a new form of augmented Riccati equation to optimize the fuzzy-regulated variable performance function in real time. The result is an online mechanism implemented as an , which involves continuous-time adaptation of both the optimal cost and the optimal control policy. The convergence and closed-loop stability of the proposed system are proved and guaranteed. Simulation examples and comparisons show the effectiveness and advantages of the proposed method.

Keywords： Indirect adaptive optimal control     Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptive optimal control actor     Actor-critic structure     Unknown nonlinear systems    

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Adaptive Optimization of Correlation-Interval for DopplerSpread Estimation and Its Iterative Implement

Zhang Peng,Bi Guangguo,Cao Xiuying,Yuan Xiaohui

Strategic Study of CAE 2007, Volume 9, Issue 6,   Pages 71-76

Abstract:

In this paper,  at first research of relation between correlation-interval and estimation accuracy is carried out,  and the optimal correlation-interval is proved to be existent that is adaptive to signal-to-noise ratio and velocity varieties. Then some special characteristics of the optimal correlation-interval are explored. Based on them an iterative correlation-interval optimized (CIO) algorithm is proposed.  It optimizes the correlation- interval and calculates the Doppler spread by increasing the resolution on time-domain iteratively.  Simulation results show that contrasted to conventional schemes the proposed approach is less sensitive to signal-to-noise ratio and velocity varieties,  and can improves the performance dramatically in low signal-to-noise ratio environment in which the conventional schemes has a poor performance. It achieves the high accurate estimation of Doppler spread directly.

Keywords： Doppler spread     autocorrelation     optimization     iteration    

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Applications of advanced controlmethods in spacecrafts: progress, challenges, and future prospects Review

Yong-chun XIE,Huang HUANG,Yong HU,Guo-qi ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 841-861 doi: 10.1631/FITEE.1601063

Abstract: We aim at examining the current status of advanced control methods in spacecrafts from an engineer’s perspective. Instead of reviewing all the fancy theoretical results in advanced control for aerospace vehicles, the focus is on the advanced control methods that have been practically applied to spacecrafts during flight tests, or have been tested in real time on ground facilities and general testbeds/simulators built with actual flight data. The aim is to provide engineers with all the possible control laws that are readily available rather than those that are tested only in the laboratory at the moment. It turns out that despite the blooming developments of modern control theories, most of them have various limitations, which stop them from being practically applied to spacecrafts. There are a limited number of spacecrafts that are controlled by advanced control methods, among which H2/H∞ robust control is the most popular method to deal with flexible structures, adaptive control is commonly used to deal with model/parameter uncertainty, and the linear quadratic regulator (LQR) is the most frequently used method in case of optimal control. It is hoped that this review paper will enlighten aerospace engineers who hold an open mind about advanced control methods, as well as scholars who are enthusiastic about engineering-oriented problems.

Keywords： Spacecraft control     Robust control     Adaptive control     Optimal control    

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Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 24-27

Abstract:

The ground structure's intelligent and automatical creating is researched. The ground structures of truss structures are intelligently and automatically created by using collateral ANFIS (Adaptive-Network-Based Fuzzy Inference Systems). The essentials of this method is to form a mapping between configurations of the trusses existed and those to be found. The ground structure is inferred by the mechanism contained in sample trusses. To produce appropriate data format of ANFIS, the topology configuration of trusses is described as a series of decimal fraction. The simulation shows the efficiency of this system.

Keywords： truss     ANFIS     intelligent     self-adaptive    

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Definition and Verification of Shape Meter Method

Zhang Jinzhi,Duan Chunhua,Zhu Jianqin

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 47-51

Abstract:

Shape survey and control mathematics model,analytical theory for shape stiffness and the shape and gauge coordination control law are called shape meter methcd. In this paper, two experimental methods had been adopted to verify the correctness and practicality of the shape meter method ： one is to roll aluminum plate and calculate the shape stiffness of mill and rolled piece, then survey aluminum plate crown to verify shape stiffness e-quation;the other is to calculate survey data off-line of hot continuous roll,and verify the shape survey and control mathematics model by self-adaptation method.

Keywords： shape meter methcxl     shape stiffness equation     survey and control mathematics model     follow-up calculation     self-adaptation    

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Automatic image enhancement by learning adaptive patch selection None

Na LI, Jian ZHAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 206-221 doi: 10.1631/FITEE.1700125

Abstract:

Today, digital cameras are widely used in taking photos. However, some photos lack detail and need enhancement. Many existing image enhancement algorithms are patch based and the patch size is always fixed throughout the image. Users must tune the patch size to obtain the appropriate enhancement. In this study, we propose an automatic image enhancement method based on adaptive patch selection using both dark and bright channels. The double channels enhance images with various exposure problems. The patch size used for channel extraction is selected automatically by thresholding a contrast feature, which is learned systematically from a set of natural images crawled from the web. Our proposed method can automatically enhance foggy or under-exposed/backlit images without any user interaction. Experimental results demonstrate that our method can provide a significant improvement in existing patch-based image enhancement algorithms.

Keywords： Image enhancement     Contrast enhancement     Dark channel     Bright channel     Adaptive patch based processing    

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An Adaptive Demodulation Method for BPSK Signals

Li Yanxin,Hu Aiqun,Song Yubo

Strategic Study of CAE 2006, Volume 8, Issue 5,   Pages 49-51

Abstract:

The paper presents a novel method for demodulating the binary phase shift keying (BPSK) signals basing on adaptive filtering. The commonly used least mean square (LMS) error adaptive filtering algorithm is employed for studying the demodulating procedure and the performance of the novel adaptive BPSK demodulation. The novel adaptive BPSK demodulation does not need the adaptive filter completing convergence. The performance of the method in theory is compared with computer simulating results. It shows that the error rates in simulation agree well with that in theory. Also, it is indicated that the demodulation method has many advantages over conventional ones, such as the powerful anti-noise ability, the small transfer delay, and the convenient implementation with DSP technology, and has lower error rates than correlation modulation at the same sample rate.

Keywords： digital communications     adaptive signal processing     demodulation     BPSK    

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An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 33-39

Abstract:

Current approaches for predicting mining induced surface subsidence have a drawback in common that they predict the subsidence only on the basis of a physical or mechanical approach irrespective of the practical examples in engineering practice in mining induced surface subsidence.However,these experiences created in engineering practice are of great value and full use should be made of them to establish an approach for predicting mining induced surface subsidence.Therefore,this paper accumulated a lot of practical examples of mining induced surface subsidence,integrated these examples by using adaptive neuro-fuzzy inference system (ANFIS)and established an ANFIS-based approach for predicting mining induced surface subsidence.The approach was further tested by using practical examples of mining induced surface subsidence.The results show that the approach can converge quickly,fit the data in very good agreement and make generalization prediction with high accuracy.

Keywords： underground mining     mining induced surface subsidence     adaptive neuro唱fuzzy inferencesystem    

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Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks

Zhang Xue

Strategic Study of CAE 2006, Volume 8, Issue 4,   Pages 32-38

Abstract:

In order to efficiently and effectively control the use of wireless network resources, in this paper, according to the characteristic of adaptive multimedia applications in which bandwidths can be adjusted dynamically, and the influence of pricing on the users' behavior, an adaptive admission control algorithm integrated with pricing is proposed. The algorithm, in with the price is adjusted dynamically based on the current network conditions, is fit for the multi-priorilies services. Attempt is tried to make best balance between the efficiency and simplicity for the pricing scheme. Comparison of the performance of the proposed approach is made with the corresponding results of conventional systems where pricing is not taken into consideration in CAC process. The performance results verify the considerable improvement achieved by the integration of pricing with CAC in wireless networks.

Keywords： wireless networks     adaptive call admission control     microeconomic theory     pricing     connection level QoS    

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Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 49-52

Abstract:

The theory of wavelet thresholding denoising is analyzed and applied to process the data measured by gravimeter in order to effectively alleviate the effect of different noise in high precise gravitational system. The signal to noise ration (SNR) is used as the index for evaluating the performance of the data processing methods. Theoretical analysis and emulation experiments indicate that wavelet thresholding denoising, adaptive wavelet thresholding denoising and adaptive Kalman filtering are all effective in alleviating the effects of different noise, but the performance of adaptive wavelet thresholding denoising is best.

Keywords： gravimeter     signal processing     wavelet transform     adaptive wavelet threshold     adaptive Kalman     filering    

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The Adaptive Robust Controller of the Centrifuge

Li Guo,Zhang Peichang,Hu Jianfei,Yu Dafei

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 30-34

Abstract:

This paper investigates the use of the adaptive robust controller for improving control performance and stability of the centrifuge. Based on its structural merit that the electric motor is connected to the centrifuge, the implementation of a control system is expected to achieve satisfactory control performance. An adaptive robust control algorithm of the centrifuge is presented in the paper, and the adaptive robust controller is designed according to the centrifuge model. The effectiveness of the algorithm is verified by the experimental results. It is clarified that the control performance and stability of the centrifuge is improved and the control system still maintains satisfactory control performance despite the change of environment conditions.

Keywords： centrifuge     adaptive control     robust control    

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Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game Research Article

Hongyang LI, Qinglai WEI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1010-1019 doi: 10.1631/FITEE.2200010

Abstract: This paper presents a novel method for with . The multi-agent game theory is introduced to transform the problem into a multi-agent . Then, the Nash equilibrium can be achieved by solving the coupled Hamilton–Jacobi–Bellman (HJB) equations with nonquadratic input energy terms. A novel method is presented to obtain the Nash equilibrium solution without the system models, and the critic neural networks (NNs) and actor NNs are introduced to implement the presented method. Theoretical analysis is provided, which shows that the iterative control laws converge to the Nash equilibrium. Simulation results show the good performance of the presented method.

Keywords： Optimal synchronization control     Multi-agent systems     Nonzero-sum game     Adaptive dynamic programming     Input saturation     Off-policy reinforcement learning     Policy iteration    

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High Precision Adaptive Predictive Control for Cruise Missile

Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 23-27

Abstract:

Cruise missile achieves good flight performance by means of stabilization and regulation of its attitudes. Based on analysis of the perturbation model of missile*s dynamic characteristics, series control structures are constructed for attitude control loop, and their discrete models are served as controlled plant for recursive least square (RLS) based adaptive predictive control, thus the mass center control with slow response transforms into trajectory angle control with fast response and high precision. On the basis of missile’s characteristics, generalized predictive control (GPC) is used in inner attitude loop, and an integral form of predictive control is adopted in outter trajectory loop. Effective transformation from mass center command to trajectory reference has achieved to realize high precision tracking. This method realizes the integration of attitude reference signal with guidance command, and that of attitude control with mass center control. It can reduce precision requirements on aerodynamic data and the control parameters can be easily selected. The numerical simulations demonstrate its effectiveness. Finally, some further academic directions are presented.

Keywords： cruise missile     adaptive control     model based predictive control     robustness    

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A Control System Based on the Lagrange Modeling Method for a Single Link Rotary Inverted Pendulum

Wu Aiguo,Zhang Xiaoming,Zhang Zhao

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 11-15

Abstract:

In this paper the design and realization of the rotary inverted pendulum (RIP) control system is presented. After analyzing its dynamic characteristics, the system model based on Lagrange method is devised. In addition, linear quadratic regulator (LQR) is designed and implemented on the RIP system by successfully balancing the pendulum in the inverted position. Simulation and experimental results are presented to show the stable and robust responses of the control system.

Keywords： rotary inverted pendulum     Lagrange method     LQR control strategy    

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Title Author Date Type Operation

Robust and accurate optimal transportation map by self-adaptive sampling

Yingshi Wang, Xiaopeng Zheng, Wei Chen, Xin Qi, Yuxue Ren, Na Lei, Xianfeng Gu,nalei@dlut.edu.cn,gu@cs.stonybrook.edu

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

Adaptive Optimization of Correlation-Interval for DopplerSpread Estimation and Its Iterative Implement

Zhang Peng,Bi Guangguo,Cao Xiuying,Yuan Xiaohui

Journal Article

Applications of advanced controlmethods in spacecrafts: progress, challenges, and future prospects

Yong-chun XIE,Huang HUANG,Yong HU,Guo-qi ZHANG

Journal Article

Self-adaptive Creating of Truss Ground Structure Based on ANFIS

Li Ying,Hu Yunchang,Cao Hongduo

Journal Article

Definition and Verification of Shape Meter Method

Zhang Jinzhi,Duan Chunhua,Zhu Jianqin

Journal Article

Automatic image enhancement by learning adaptive patch selection

Na LI, Jian ZHAN

Journal Article

An Adaptive Demodulation Method for BPSK Signals

Li Yanxin,Hu Aiqun,Song Yubo

Journal Article

An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence

Ding Dexin,Zhang Zhijun,Bi Zhongwei

Journal Article

Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks

Zhang Xue

Journal Article

Adaptive Wavelet Thresholding Denoising Used in Gravitational Signal Processing

Zhao Liye,Zhou Bailing,Li Kunyu

Journal Article

The Adaptive Robust Controller of the Centrifuge

Li Guo,Zhang Peichang,Hu Jianfei,Yu Dafei

Journal Article

Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game

Hongyang LI, Qinglai WEI

Journal Article

High Precision Adaptive Predictive Control for Cruise Missile

Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming

Journal Article

A Control System Based on the Lagrange Modeling Method for a Single Link Rotary Inverted Pendulum

Wu Aiguo,Zhang Xiaoming,Zhang Zhao

Journal Article