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Your search keyword '"Yongzhen Cao"' showing total 3 results
Start Over Author "Yongzhen Cao" Publication Year Range Last 10 years
3 results on '"Yongzhen Cao"'

1. An MPC Method for Trajectory Tracking of Unmanned Vehicle with LMI-Constrained Unscented Kalman Filter.

Author

Renbo Qing, Xiaoming Tang, Hua Huang, and Yongzhen Cao

Subjects
KALMAN filtering, AUTONOMOUS vehicles, LINEAR matrix inequalities, REMOTELY piloted vehicles, PREDICTION models, ARTIFICIAL satellite tracking
Abstract

This paper investigates the model predictive control (MPC) for the trajectory tracking of the unmanned vehicle system with bounded disturbances and actuator saturation based on the unscented Kalman filter (UKF). In order to obtain accurate system state, the linear matrix inequality (LMI)-constrained UKF is addressed by solving the LMI optimization problem. Moreover, by expressing the saturating linear feedback law as convex hull and describing the stability of the vehicle kinematics model with bounded disturbance via the quadratic bounded theorem, a model predictive controller to achieve trajectory tracking is proposed by solving the infinite horizon optimization problem. The effectiveness of the proposed approach is verified by the co-simulation platform of Matlab/Simulink and Carsim. The results of simulations show that this approach can improve the accuracy of state estimation as well as the trajectory tracking control. [ABSTRACT FROM AUTHOR]

Published
2024

2. Image Denoising viaL0Gradient Minimization with Effective Fidelity Term

Author

Wenxue Zhang, Yongzhen Cao, Lingling Li, Rongxin Zhang, and Yunlei Wen

Subjects
Mathematical optimization, General Mathematics, Tv model, media_common.quotation_subject, General Engineering, Fidelity, Kernel (image processing), Piecewise, Minification, Image denoising, Inefficiency, Smoothing, Mathematics, media_common
Abstract

TheL0gradient minimization (LGM) method has been proposed for image smoothing very recently. As an improvement of the total variation (TV) model which employs theL1norm of the gradient, the LGM model yields much better results for the piecewise constant image. However, just as the TV model, the LGM model also suffers, even more seriously, from the staircasing effect and the inefficiency in preserving the texture in image. In order to overcome these drawbacks, in this paper, we propose to introduce an effective fidelity term into the LGM model. The fidelity term is an exemplar of the moving least square method using steering kernel. Under this framework, these two methods benefit from each other and can produce better results. Experimental results show that the proposed scheme is promising as compared with the state-of-the-art methods.

Published
2015

3. [Randomized controlled study of limited margins IMRT and temozolomide chemotherapy in patients with malignant glioma]

Author

Wenxue, Zhang, Jian, Sun, Yongzhen, Cao, and Xuejun, Yang

Subjects
Brain Neoplasms, Tumor Suppressor Proteins, Remission Induction, Chemoradiotherapy, Glioma, Prognosis, Disease-Free Survival, Dacarbazine, Survival Rate, DNA Repair Enzymes, Chemotherapy, Adjuvant, Disease Progression, Temozolomide, Humans, Radiotherapy, Intensity-Modulated, Glioblastoma, Promoter Regions, Genetic, Antineoplastic Agents, Alkylating, DNA Modification Methylases
Abstract

To evaluate the efficacy of limited margins intensity-modulated radiotherapy (IMRT) with temozolomide chemotherapy in patients with malignant glioma, and explore the prognostic factors of malignant glioma.A total of 33 whole-resected patients, 14 partial-resected patients and 3 biopsied patients were randomly divided into limited margins group and routine margins group. The patients were treated with IMRT and temozolomide concurrent chemotherapy, subsequently adjuvant chemotherapy. Then all the patients were evaluated 2 months later after concurrent chemoradiotherapy. Progression-free survival in 1 year (PFS-1), progress free survival rate in 1 year (PFSR-1) and 1 year survival rate (SR-1) were recorded.All the possible prognostic factors were analyzed.Routine margins group: complete response (CR) 19, partial response (PR) 2, stable disease (SD) 2, progressive disease (PD) 2; Limited margins group: CR 16, PR 6, SD 1, PD 2. Mean PFS-1 of the two groups were 11.64 and 11.36 months, respectively. PFSR-1 were 84% in routine margins group and 80% in limited margins group. SR-1 of two groups were both 100%. Surgery results and O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status were correlated with immediate-term prognosis by either univariate or multivariate analysis. Both surgery results and immediate-term prognosis were relevant factors to PFS-1. Progression sites in two groups had no statistical difference by analysis.Both groups gained favorable results, and limited margins doesn't increase local failures. Surgery results are important prognostic factors to immediate-term prognosis and PFS-1.

Published
2015

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