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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Forty years of cross-disciplinary academic and industrial research & development work on radar tracking systems is surveyed, starting from the former implementations based on the α — β, the Kalman filter up to the modern implementations based on random set filters.
In this paper, we proposed a novel ant algorithm based on pheromone prediction for multiple adjacent cell tracking. In order to improve the efficacy and reduce the computing time of our proposed algorithm, evolution of pheromone fields is achieved based on pheromone prediction mechanism. Along with a detailed description of our algorithms, many simulation results are reported on. The results suggest...
Dynamics analysis of cells' movement is essential in medical research. Multiple cells tracking through fluorescence microscopy imaging is often challenged by many roadblocks including the severe image noise, adhesion among cells, and low resolution of image. To gain full dynamics of multiple cells, a novel raindrop and ripple optimization (RRO) algorithm is proposed for multiple cells tracking in...
Tracking is a means to accomplish the more fundamental task of extracting relevant information about cell behavior from time-lapse microscopy data. Hence, characterizing uncertainty or confidence in the information inferred from the data is as important as the tracking of the cells. In this paper, we show that in addition to being a principled Bayesian multi-object tracking approach, the Random Finite...
In this paper, a new multiple extended target tracking learning algorithm based on labelled random finite sets (L-RFS) framework is proposed to estimate the number, shape and state of extended targets under clutter conditions. The algorithm mainly includes two aspects: multi-extended target dynamic modeling and multi-extended target tracking estimates. Firstly, a finite mixture model (FMM) of extended...
This paper proposes a multi-target tracking strategy using a δ-Generalized Multi-Bernoulli Poisson (δ-GMBP) filter applied in a multi-sensor scenario. The δ-GMBP distribution is closed under the Chapman-Kolmogorov equation and Bayes rule, and also closed for a wide family of multi-target likelihood functions which allows implementations of different kinematic and measurement models. One difference...
In this paper we propose a new solution to the problem of tracking multiple speakers from multiple microphone arrays in a reverberant acoustic environment. The acoustic environment with its complex reflection patterns with its underlying data association uncertainty pose the two most significant challenges in the multi-speaker tracking problem. We provide an approach that employs individual Time Difference...
In Track-Before-Detect (TBD), the aim is to jointly estimate the number of tracks and their states from low signal-to-noise ratio (SNR) images. This is a challenging problem due to the unknown and time varying number of targets as well as the nonlinearity and size of the image data. A good balance between tractability and fidelity is important in the design of the measurement model for such trackers...
A non-isothermal Continuous Stirred Tank Reactor (CSTR) is the most important element of chemical industrial equipment which exhibits a highly nonlinear behavior. It is one of multi-input multi-output (MIMO) nonlinear systems affected by disturbances. The operation of the non-isothermal CSTR is disturbed by external factors such as changes in the inlet concentration and temperature. Therefore, the...
The stabilization with a General Dissipativity Constraint (GDC) has been governed by the non-negativeness of ΔV(x, k) along the trajectories (i.e. ΔV(x, k) 0), in which ΔV(x, k) 0 is a storage function. We have stated and proved the state convergence with the GDC a previous work, but the stability has not been addressed thoroughly. In this paper, we analyze the stability that is obtained from...
The state feedback design with a relaxed non-monotonic Lyapunov function in the discrete-time domain is developed in this work. Linear matrix inequalities are derived from both dissipation-based constraint and dissipation inequality for the closed-loop system. The dissipation-based constraint facilitates the stabilization with ΔVk 0 and decreasing (not necessarily monotoincally), instead of ΔVk...
This paper proposes modeling and control system design for PV based Quasi-Z-Source Inverter (QZSI) for grid connected applications. The control system is designed based on the dynamical characteristics of the converter and introduces two cascaded controllers. Firstly, output current controller designed in the stationary frame. The second is DC-link voltage controller. Also, Modified Direct Incremental...
We present the application of decentralized Model Predictive Control (MPC) without terminal constraints to the Automatic Generation Control (AGC) problem in power systems. A dissipation-based constraint is additionally enforced to each MPC optimization of a control area — a subsystem within an interconnected system, to assure the overall system stability. A systematic tuning procedure for the enforced...
This paper deals with multiple detection target tracking. We propose a novel algorithm to cover the many-to-one measurements-to-track association where the linear multitarget integrated track splitting algorithm is extended to accommodate for multiple detection target tracking using measurement partition method. After measurement-selection, measurement cells, where one measurement cell may contain...
The optimal sub-pattern assignment (OSPA) metric is a distance between two sets of points that jointly accounts for the dissimilarity in the number of points and the values of the points in the respective sets. The OSPA metric is often used for measuring the distance between two sets of points in Euclidean space. A common example is in multi-target filtering, where the aim is to estimate the set of...
Ballistic reentry target trajectory tracking is an important application of nonlinear filtering problems. Under non-Gaussian noise, Standard Particle Filter (SPF) and many revised PFs (i.e. MSRCQPF) can obtain good results. However, the two algorithms may meet some defects respectively, such as particle degradation, large computational complexity and so on. This paper propose a multimode sampling...
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