Search Results - "Blom, H.A.P."

Exact Bayesian and particle filtering of stochastic hybrid systems by Blom, H.A.P., Bloem, E.A.

“…The standard way of applying particle filtering to stochastic hybrid systems is to make use of hybrid particles, where each particle consists of two…”
Get full text

IMM estimator versus optimal estimator for hybrid systems by Bar-Shalom, Y., Challa, S., Blom, H.A.P.

“…The special feature of the interacting multiple model (TMM) estimator that distinguishes it from other suboptimal multiple model (MM) estimators is the…”
Get full text

Bayesian tracking of two possibly unresolved maneuvering targets by Blom, H.A.P., Bloem, E.A.

“…The paper studies the problem of maintaining tracks of two targets that may maneuver in and out formation flight, whereas the sensor and measurement extraction…”
Get full text

Probabilistic data association avoiding track coalescence by Blom, H.A.P., Bloem, E.A.

“…For the problem of tracking multiple targets, the joint probabilistic data association (JPDA) approach has shown to be very effective in handling clutter and…”
Get full text

Scanning the Issue by Eskandarian, Azim, Jung, S., Hong, S., Lee, K., Tseng, C.-M., Chau, S.C.-K., Liu, X., Lan, C.-L., Chang, G.-L., Zou, L., Wen, T., Wang, Z., Chen, L., Roberts, C., Yu, W., Li, Y., Chu, F., Feng, C., Chu, C., Zhou, M., Singh, D., Mohan, C.K., Gupta, S., Vasardani, M., Winter, S., Di, X., Zhao, Y., Huang, S., Liu, H.X., Sayin, M.O., Lin, C.-W., Shiraishi, S., Shen, J., Basar, T., Zhang, Y., Wang, H., Yuan, T., Lv, J., Xu, T., Diao, Z., Zhang, D., Wang, X., Xie, K., He, S., Lu, X., Ji, B., Yuan, X., Yuan, Y., Huang, Z., Chu, D., Wu, C., He, Y., Li, J., Zhang, B., Zhong, Z., He, R., Dahman, G., Ding, J., Lin, S., Ai, B., Yang, M., Pamula, T., Hu, X., Xu, X., Xiao, Y., Chen, H., Qin, J., Heng, P.-A., Masouleh, A.Z., Hellinga, B.R., Ghahramani, M., Hon, C.T., Xu, Y., Prats, X., Mitici, M., Blom, H.A.P., Nieto, R.M., Garcia-Martin, A., Hauptmann, A.G., Martinez, J.M., Wang, Y., Zhang, J., Lu, G., Pozueco, L., Tuero, A.G., Paneda, A.G., Paneda, X.G., Melendi, D., Garcia, R., Orueta, G.Diaz, Rionda, A., Yazhemsky, D., Rashid, M., Sirouspour, S., Li, H., Wang, P., Shen, C., Yi, Z., Bauer, P.H., Tang, C.

Get full text

Scanning the Issue by Eskandarian, Azim, Jung, S., Hong, S., Lee, K., Tseng, C.-M., Chau, S.C.-K., Liu, X., Lan, C.-L., Wen, T., Wang, Z., Chen, L., Roberts, C., Yu, W., Li, Y., Feng, C., Singh, D., Mohan, C.K., Gupta, S., Winter, S., Di, X., Zhao, Y., Huang, S., Liu, H.X., Lin, C.-W., Shiraishi, S., Shen, J., Basar, T., Zhang, Y., Wang, H., Lv, J., Xu, T., Diao, Z., Zhang, D., Xie, K., He, S., Lu, X., Li, Y., Ji, B., Yuan, X., Huang, Z., Chu, D., Wu, C., He, Y., Li, J., Wang, Z., Zhong, Z., He, R., Dahman, G., Ding, J., Lin, S., Yang, M., Pamula, T., Hu, X., Xu, X., Xiao, Y., Chen, H., He, S., Qin, J., Heng, P.-A., Masouleh, A.Z., Hellinga, B.R., Ghahramani, M., Zhou, M., Hon, C.T., Xu, Y., Prats, X., Mitici, M., Nieto, R.M., Garcia-Martin, A., Hauptmann, A.G., Martinez, J.M., Wang, Y., Zhang, J., Pozueco, L., Tuero, A.G., Paneda, A.G., Paneda, X.G., Rionda, A., Yazhemsky, D., Li, H., Wang, P., Yi, Z., Bauer, P.H., Tang, C., Ceder, A., Zhao, S., Ge, Y.-E., de Almeida, T.T., Nacif, J.A.M., Junior, J.G.R., Bystrov, A., Hoare, E.G., Stove, A., Gashinova, M., Cherniakov, M., Tran, T.-Y., Clarke, N., Hussain, K.F., Afifi, M., Moussa, G.

“…Summary form only. Provides an overview of the technical articles and features of interest to readers that appear outside of this publication…”
Get full text

The interacting multiple model algorithm for systems with Markovian switching coefficients by Blom, H.A.P., Bar-Shalom, Y.

“…An important problem in filtering for linear systems with Markovian switching coefficients (dynamic multiple model systems) is the management of hypotheses,…”
Get full text

Embedding adaptive JLQG into LQ martingale control with a completely observable stochastic control matrix by Everdij, M.H.C., Blom, H.A.P.

“…With jump linear quadratic Gaussian (JLQG) control, one refers to the control under a quadratic performance criterion of a linear Gaussian system, the…”
Get full text

Joint IMMPDA particle filter by Blom, H.A.P., Bloem, E.A.

Get full text

Tracking closely spaced targets: Bayes outperformed by an approximation? by Blom, H.A.P., Bloem, E.A., Boers, Y., Driessen, H.

“…In theory, a good joint particle filter allows to approximate the exact Bayesian filter solution arbitrarily well. This has motivated a strong and successful…”
Get full text

Permutation invariance in Bayesian estimation of two targets that maneuver in and out formation flight by Blom, H.A.P., Bloem, E.A.

“…In theory, a good particle filter allows to approximate the exact Bayesian filter solution arbitrarily well. This has motivated a strong and successful…”
Get full text

Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm by Bar-Shalom, Y., Chang, K.C., Blom, H.A.P.

“…Two maneuvering-target tracking techniques are compared. The first, called input estimation, models the maneuver as constant unknown input, estimates its…”
Get full text

Probabilistic reachability analysis for large scale stochastic hybrid systems by Blom, H.A.P., Bakker, G.J., Krystul, J.

“…This paper studies probabilistic reachability analysis for large scale stochastic hybrid systems (SHS) as a problem of rare event estimation. In literature,…”
Get full text

A Particle System for Safety Verification of Free Flight in Air Traffic by Blom, H.A.P., Krystul, J., Bakker, G.J.

“…Under free flight, an aircrew has both the freedom to select their trajectory and the responsibility of resolving conflicts with other aircraft. The general…”
Get full text

Hybrid SIR joint particle filtering under limited sensor resolution by Blom, H.A.P., Bloem, E.A.

“…The hybrid SIR joint particle filter has been developed as an effective approximation of the exact Bayesian filter for maintaining tracks of multiple…”
Get full text

From piecewise deterministic to piecewise diffusion Markov processes by Blom, H.A.P.

“…The author presents PD (piecewise deterministic) processes as pathwise unique solutions of an Ito stochastic differential equation (SDE), driven by a Poisson…”
Get full text

Time-reversion of a hybrid state stochastic difference system with a jump-linear smoothing application by Blom, H.A.P., Bar-Shalom, Y.

“…The reversion in time of a stochastic difference equation in a hybrid space with a Markovian solution is presented. The reversion is obtained by a martingale…”
Get full text

Stochastic reachability as an exit problem by Bujorianu, M.L., Blom, H.A.P.

“…For stochastic hybrid systems, safety verification methods are very little supported mainly because of complexity and difficulty of the associated mathematical…”
Get full text

Approximate Bayesian tracking of two targets that maneuver in and out formation flight by Blom, H.A.P., Bloem, E.A.

“…The paper evaluates four recently developed advanced target tracking algorithms on their performance in maintaining tracks of two targets that maneuver in and…”
Get full text

Conflict probability and incrossing probability in air traffic management by Blom, H.A.P., Bakker, G.J.

“…Studies performance metrics that are of use in the evaluation of conflict detection and resolution in air traffic management. The metrics studied are conflict…”
Get full text