Article
Automation & Control Systems
Li Keyi, Guo Zhengkun, Zhou Gongjian
Summary: This paper proposes a state estimation method based on the proper dynamic model in the R-D plane, using range measurements to obtain accurate range and Doppler estimates. The unscented Kalman filter is utilized to handle the strong nonlinearity, and two filtering initialization methods are derived.
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
(2022)
Article
Engineering, Aerospace
Itzik Cohen, Nadav Levanon
Summary: This article explores the possibility of replacing a monostatic radar with a highly directive antenna using a coherent bistatic (BS) radar with a single short baseline between the transmitter and the receiver, without requiring direction measurements. The method is applicable to moving targets and relies on both range and range-rate BS measurements. Theoretical analysis and field-test results demonstrate how consecutive pairs of BS range (r) and range-rate (ṙ) measurements can determine the position, velocity, and heading of a moving target in a two-dimensional scene (x, y, v(x), v(y)). In a three-dimensional scene, a second receiver, not along the baseline, is required to estimate five target parameters (x, y, h, v(x), v(y)). The measurements of range and range-rate distinguish this concept from other multistatic radars and well-known positioning or angle-of-arrival estimation techniques.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Puneet Jain, Cameron K. Peterson, Randal W. Beard
Summary: This paper presents controllers that use relative measurements to steer autonomous vehicles in circular trajectories around a target. The use of an extended Kalman filter improves measurement accuracy, and Lyapunov techniques are used to analyze convergence. Numerical simulations validate the effectiveness of the controllers.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2022)
Article
Geochemistry & Geophysics
Wujun Li, Wei Yi, Kah Chan Teh, Lingjiang Kong
Summary: This study proposes an efficient multiframe detection method that maps echo measurements to a discrete grid space and achieves adaptive multiframe integration by combining the target evolution relationship. The improved strategy reduces algorithm complexity and improves the accuracy of search paths, resulting in high detection probability and tracking accuracy for weak targets with range-Doppler-azimuth measurements.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Biochemical Research Methods
Gabriella E. C. Gall, Talmo D. Pereira, Alex Jordan, Yasmine Meroz
Summary: This study used the SLEAP framework for plant tracking and found that it was accurate in tracking side views of shoots and roots but faced challenges in tracking top views of plant crowns made up of multiple leaves.
Article
Robotics
Mohammed Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny
Summary: Accurately estimating the relative positions of robotic agents in collaborative tasks is crucial, especially in GPS-denied environments. This letter presents a condition and framework using low-cost technologies like ultra-wideband radio, accelerometer, rate gyro, and magnetometer to achieve 40-50 cm positioning accuracy in multi-agent systems.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Multidisciplinary Sciences
Liu Wang, Fang Xie, Yong Zhang, Min Xiao, Fang Liu
Summary: This paper proposes a method combining a time delay loop with an extended Kalman filter to improve the measurement accuracy of optical phase tracking.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Multidisciplinary
N. A. Othman, U. Reif, A. Ramli, M. Y. Misro
Summary: This paper presents a method of generating trajectories based on the geometric Hermite interpolation algorithm, which can achieve a smooth experience in autonomous vehicles by calculating a set of geometric Hermite data containing predefined points, tangent angles and curvature values. The generated path provides curvature information for safe autonomous driving on roads, and offers an alternative way to estimate the design speed of autonomous lane change systems.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yujie Cai, Yibo Fan, Leilei Huang, Xiaoyang Zeng, Haibing Yin, Bing Zeng
Summary: This research aims to speed up the CABAC process by making simplifications, such as using piecewise-linear functions to approximate certain parts, improving the coding process at the sub-block level, and simplifying the context modeling. Based on these simplifications, a parallel hardware architecture is built to achieve efficient bit estimation.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Engineering, Marine
Ana Catarina Costa, Haitong Xu, Carlos Guedes Soares
Summary: This study identifies and validates hydrodynamic coefficients for surge, sway, and yaw motion using simulated data and free-running test data. A nonlinear manoeuvring model based on standard Euler equations is proposed, with hydrodynamic coefficients computed using empirical equations. Validation is done by comparing measured values with predictions from manoeuvring models, and sensitivity analysis helps understand parameter influences in manoeuvres.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Aerospace
S. P. Arjun Ram, Maruthi R. Akella, Renato Zanetti
Summary: This article presents a nonlinear observer that estimates the angular velocity of a rotating rigid body using measurements from a rate integrating gyroscope. The observer achieves exponential convergence when the inertia matrix is known, and an adaptive observer is designed for cases when the inertia is unknown. The observer is robust to inaccuracies in the knowledge of inertia and external torque acting upon the system.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2023)
Article
Computer Science, Information Systems
Xi He, Chang Li, Mingdi Du, Heng Dong, Peng Li
Summary: The paper studies a fast three-phase state estimation method by integrating multiple measurement data to achieve real-time estimation of the distribution system. The research shows that by adding pseudo voltage measurements and using harmonic components modeling, the estimation redundancy can be significantly increased.
Article
Engineering, Electrical & Electronic
Chenghu Cao, Yongbo Zhao
Summary: This article presents the multi-sensor multiple-model generalised labelled multi-Bernoulli filter (MS-MM-GLMB) for tracking multiple manoeuvring targets and proposes an efficient implementation for computing multi-target posterior. The implementation consists of two main parts: centralised fusion with distributed sensors and posterior calculation using belief propagation. The centralised fusion with distributed sensors is performed based on common predicted information, enabling full parallelisation and allowing multiple sensor fusion with MM-GLMB filters. The belief propagation algorithm efficiently calculates the marginal posterior distributions of GLMB form for superior tracking performance.
IET RADAR SONAR AND NAVIGATION
(2023)
Article
Automation & Control Systems
Bowen Yi, Chi Jin, Ian R. Manchester
Summary: The design of a globally convergent position observer for feature points from visual information is addressed in this paper. The proposed solution assumes availability of only the bearing of a feature point, biased linear acceleration, and rotational velocity of a robot in the body-fixed frame. Unlike existing related results, the proposed approach does not require the value of the gravitational constant. The observer's convergence conditions are provided, which are less strict than the standard persistency of excitation and uniform complete observability conditions. The proposed design is also applied to the visual inertial navigation problem.
Article
Engineering, Electrical & Electronic
Zhiliang Wei, Ning Fu, Siyi Jiang, Junhui Qian, Liyan Qiao
Summary: In this study, a sequential-based range-Doppler estimation method with fast and slow time sub-Nyquist sampling is proposed. Using the finite rate of innovation (FRI) theory and the subspace method, accurate estimation of range and Doppler parameters is achieved, enhancing the robustness of Doppler estimation.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Alessandro N. Vargas, Eduardo F. Costa, Leonardo Acho, Joao B. R. do Val
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2018)
Article
Management
J. B. R. do Val, P. Guillotreau, T. Vallee
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Automation & Control Systems
Filipe C. Pedrosa, Joao C. Nereu, Joao B. R. do Val
Summary: This paper discusses the paradigm of controlling uncertain stochastic systems through CSVIU and its practicality when an accurate dynamic model is unattainable. The optimal control solution for the model involves remaining idle within a certain region of the state space, which is peculiar to the CSVIU approach and has ties to cautionary control policies in economics.
Article
Automation & Control Systems
Rebecca Fernandes Ribeiro, Victor Baptista Frencl, Leonardo Abdala Elias, Joao Bosco Ribeiro do Val
Summary: This paper presents an algorithm based on stochastic filtering to remove blinking artifacts in EEG signals. The algorithm utilizes a combination of autoregressive models and applies the Kalman filter to single-channel EEG recordings, requiring the availability of the EOG signal. The proposed method is evaluated using actual and simulated artifacts, with the estimated power spectral density as the performance measure.
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS
(2022)
Article
Automation & Control Systems
Joao B. R. Do Val, Daniel S. Campos
Summary: This paper discusses stochastic control problems related to energy or power measurements and applies them to a class of systems with underlying uncertainties conveyed by stochastic processes. It introduces performance indices and optimal control laws in two forms, providing tools to pursue the optimal solution.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2022)
Article
Automation & Control Systems
Marcos R. Fernandes, Rafael F. Souto, Joao B. R. do Val
Summary: This letter discusses the problem of estimating tumor growth and tumor age using the Gompertz model within the nonlinear mixed-effect framework. It proposes a prior choice for the population model parameters based on the Normal-Laplace distribution and a robust estimation method using the Maximum A Posteriori (MAP) method. Numerical experiments show that the proposed method provides more accurate estimates in this important problem.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Article
Automation & Control Systems
Edilson F. Arruda, Rodrigo e A. Alexandre, Marcelo D. Fragoso, Joao B. R. do Val, Sinnu S. Thomas
Summary: The main objective of this paper is to propose a novel SEIR stochastic epidemic model. This model allows for general latency and infectious period distributions and has been validated in the context of the COVID-19 epidemic.
Article
Multidisciplinary Sciences
Zinan Liu, Mohammad Hosein Sabzalian, Elnazossadat Yasoubi, Joao Bosco Ribeiro do Val
Summary: This research introduces an innovative DC-DC power converter with a high voltage transfer ratio, eliminating the need for a transformer. The converter, using switched inductor and capacitor techniques, provides a symbiotic relationship between high step-up voltage ratio and reduced power losses. Through experimental validation, it is shown that the converter achieves impressive efficiency and stability, enabling effective utilization of low voltage renewable energy.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Proceedings Paper
Automation & Control Systems
Daniel S. Campos, Joao B. R. do Val
2020 AMERICAN CONTROL CONFERENCE (ACC)
(2020)
Article
Automation & Control Systems
Marcos R. Fernandes, Joao B. R. do Val, Rafael F. Souto
IEEE CONTROL SYSTEMS LETTERS
(2020)
Proceedings Paper
Automation & Control Systems
Marcos R. Fernandes, Joao B. R. do Val, Rafael F. Souto
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
(2018)
Proceedings Paper
Computer Science, Information Systems
Danilo Habermann, Eloi Dranka Junior, Yusef Caceres, Joao B. R. do Val
2018 IEEE RADAR CONFERENCE (RADARCONF18)
(2018)
Proceedings Paper
Computer Science, Information Systems
Giorgio de Moura Magalhas, Eloi Dranka Junior, Yusef Caceres, Joao B. R. do Val, Rafael S. Mendes
2018 IEEE RADAR CONFERENCE (RADARCONF18)
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Filipe C. Pedrosa, Joao C. Nereu, Joao B. R. do Val
2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Yusef Caceres, Joao B. R. do Val, Rafael S. Mendes, Danilo Habermann
2017 IEEE RADAR CONFERENCE (RADARCONF)
(2017)
