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2021.
  • Yi, Xinlei, et al. (författare)
  • Dynamic Triggering Laws and Predictive Self-Triggered Algorithm for Multi-Agent Systems with Event-triggered Control
  • ????
  • Annan publikation (övrigt vetenskapligt)abstract
    • We propose two distributed dynamic triggering laws and one predictive self-triggered algorithm to solve the consensus problem for multi-agent systems with event-triggered control. Compared with existing triggering laws, the proposed triggering laws involve internal dynamic variables which play an essential role to guarantee that the triggering time sequence does not exhibit Zeno behavior. Some existing triggering laws are special cases of our dynamic triggering laws. Unlike the great majority of existing works that propose distributed triggering laws and self-triggered algorithm, continuous listening is avoided in the proposed predictive self-triggered algorithm.Under the condition that the underlying graph is undirected and connected, it is proven that the proposed dynamic triggering laws and the predictive self-triggered algorithm together with the event-triggered control make the state of each agent converges exponentially to the average of the agents’ initial states. Numerical simulations illustrate the effectiveness of the theoretical results and show that the dynamic triggering laws and the predictive self-triggered algorithm lead to reduction of actuation updates and inter-agent communications.
2022.
  • Yi, Xinlei, et al. (författare)
  • Formation Control for Multi-Agent Systems with Connectivity Preservation and Event-Triggered Controllers
  • 2017
  • Ingår i: IFAC-PapersOnLine. - IFAC Papers Online. - 1045-0823. ; 50:1, s. 9367-9373
  • Tidskriftsartikel (refereegranskat)abstract
    • In this paper, event-triggered controllers and corresponding algorithms are proposed to establish the formation with connectivity preservation for multi-agent systems. Each agent needs to update its control input and to broadcast this control input together with the relative state information to its neighbors at its own triggering times, and to receive information at its neighbors' triggering times. Two types of system dynamics, single integrators and double integrators, are considered. As a result, all agents converge to the formation exponentially with connectivity preservation, and Zeno behavior can be excluded. Numerical simulations show the effectiveness of the theoretical results.
2023.
  • Yi, Xinlei, et al. (författare)
  • Formation Control for Multi-Agent Systems with Connectivity Preservation and Predictive Self-Triggered Controllers
  • ????
  • Annan publikation (övrigt vetenskapligt)abstract
    • In this paper, event-triggered algorithms and predictive self-triggered algorithms are proposed to establish the formation with connectivity preservation for multi-agent  ystems.Each agent only needs to update its control input by sensing the relative state information and to broadcast its triggering information to its neighbors at its own triggering times, and to listen and to receive its neighbors' triggering information at their triggering times. Two types of system dynamics, single integrators and double integrators, are considered. As a result, all agents converge to the formation exponentially with connectivity preservation and exclusion of Zeno behavior. Numerical simulations show the eectiveness of the theoretical results.
2024.
  • Yoo, Jaehyun, et al. (författare)
  • Event-triggered Model Predictive Control with Machine Learning for Compensation of Model Uncertainties
  • 2017
  • Ingår i: 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. - Institute of Electrical and Electronics Engineers (IEEE). - 978-1-5090-2873-3 ; s. 5463-5468
  • Konferensbidrag (refereegranskat)abstract
    • As one of the extensions of model predictive control (MPC), event-triggered MPC takes advantage of the reduction of control updates. However, approaches to event-triggered MPCs may be subject to frequent event-triggering instants in the presence of large disturbances. Motivated by this, this paper suggests an application of machine learning to this control method in order to learn a compensation model for disturbance attenuation. The suggested method improves both event-triggering policy efficiency and control accuracy compared to previous approaches to event-triggered MPCs. We employ the radial basis function (RBF) kernel based machine learning technique. By the universial approximation property of the RBF, which imposes an upper bound on the training error, we can present the stability analysis of the learningaided control system. The proposed algorithm is evaluated by means of position control of a nonholonomic robot subject to state-dependent disturbances. Simulation results show that the developed method yields not only two times less event triggering instants, but also improved tracking performance.
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2025.
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2026.
  • Zachariadis, V., et al. (författare)
  • The frequency and prognostic impact of dic(9;20)(p13.2;q11.2) in childhood B-cell precursor acute lymphoblastic leukemia : results from the NOPHO ALL-2000 trial
  • 2011
  • Ingår i: Leukemia. - London : Nature Publishing Group. - 0887-6924. ; 25:4, s. 622-628
  • Tidskriftsartikel (refereegranskat)abstract
    • The dic(9;20)(p13.2;q11.2) is reported to be present in ∼2% of childhood B-cell precursor acute lymphoblastic leukemia (BCP ALL). However, it easily escapes detection by G-banding analysis and its true prevalence is hence unknown. We performed interphase fluorescence in situ hybridization analyses-in a three-step manner-using probes for: (i) CDKN2A at 9p21, (ii) 20p and 20q subtelomeres and (iii) cen9 and cen20. Out of 1033 BCP ALLs diagnosed from 2001 to 2006, 533 were analyzed; 16% (84/533) displayed 9p21 deletions, of which 30% (25/84) had dic(9;20). Thus, dic(9;20)-positivity was found in 4.7% (25/533), making it the third most common genetic subgroup after high hyperdiploidy and t(12;21)(p13;q22). The dic(9;20) was associated with a female predominance and an age peak at 3 years; 18/25 (72%) were allocated to non-standard risk treatment at diagnosis. Including cases detected by G-banding alone, 29 dic(9;20)-positive cases were treated according to the NOPHO ALL 2000 protocol. Relapses occurred in 24% (7/29) resulting in a 5-year event-free survival of 0.69, which was significantly worse than for t(12;21) (0.87; P=0.002) and high hyperdiploidy (0.82; P=0.04). We conclude that dic(9;20) is twice as common as previously surmised, with many cases going undetected by G-banding analysis, and that dic(9;20) should be considered a non-standard risk abnormality.
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2027.
  • Zakroyeva, A., et al. (författare)
  • Epidemiology of osteoporotic fracture in Moldova and development of a country-specific FRAX model
  • 2020
  • Ingår i: Archives of Osteoporosis. - 1862-3522. ; 15:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Retrospective population-based survey in 2 regions of the Republic of Moldova determined the incidence of fractures at the hip, proximal humerus and distal forearm. The estimated number of such fractures nationwide for 2015 was 11,271 and is predicted to increase to 15,863 in 2050. The hip fracture rates were used to create a FRAX model to help guide decisions about treatment. Objective This paper describes the epidemiology of osteoporotic fractures in Republic of Moldova that was used to develop the country-specific fracture prediction FRAX (R) tool. Methods We carried out a retrospective population-based survey in 2 regions of the Republic of Moldova (Anenii Noi district and Orhei district) representing approximately 6% of the country's population. We identified hip, forearm and humerus fractures in 2011 and 2012 from hospital registers and primary care sources. Age- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for Moldova. Fracture probabilities were compared with those from neighbouring countries having FRAX models. Results The incidence of hip fracture applied nationally suggested that the estimated number of hip fractures nationwide in persons over the age of 50 years for 2015 was 3911 and is predicted to increase by 60% to 6492 in 2050. Hip fracture incidence was a good predictor of forearm and humeral fractures. FRAX-based probabilities were higher in Moldova than neighbouring countries (Ukraine and Romania). Conclusion The FRAX model should enhance accuracy of determining fracture probability among the Moldavan population and help guide decisions about treatment.
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2028.
  • Zarechnaya, E. Y., et al. (författare)
  • Theoretical study of linear monoatomic nanowires, dimer and bulk of Cu, Ag, Au, Ni, Pd and Pt
  • 2008
  • Ingår i: Computational materials science. - Institutionen för fysik, kemi och biologi. - 0927-0256. ; 43:3, s. 522-530
  • Tidskriftsartikel (refereegranskat)abstract
    • The binding and electronic properties of monoatomic nanowires, dimers and bulk structures of Cu, Ag, Au and Ni, Pd, Pt have been studied by the projector augmented-wave method (PAW) within the density functional theory (DFT) using the local density approximation (LDA) as well as generalized gradient approximation (GGA) in both Perdew–Wang (PW91) and Perdew–Burke–Ernzerhof (PBE) parameterizations. Our results show that the formation of atomic chains is not equally plausible for all the studied elements. In agreement with experimental observations Pt and Au stand out as most likely elements to form monoatomic wires. Changes in the electronic structure and magnetic properties of metal chains at stretching are analyzed.
2029.
  • Zareh, M., et al. (författare)
  • Consensus in multi-agent systems with non-periodic sampled-data exchange and uncertain network topology
  • 2014
  • Ingår i: Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014. - 9781479967735 ; s. 411-416
  • Konferensbidrag (refereegranskat)abstract
    • In this paper consensus in second-order multi-agent systems with a non-periodic sampled-data exchange among agents is investigated. The sampling is random with bounded inter-sampling intervals. It is assumed that each agent has exact knowledge of its own state at any time instant. The considered local interaction rule is PD-type. Sufficient conditions for stability of the consensus protocol to a time-invariant value are derived based on LMIs. Such conditions only require the knowledge of the connectivity of the graph modeling the network topology. Numerical simulations are presented to corroborate the theoretical results.
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2030.
  • Zareh, M., et al. (författare)
  • Consensus in multi-agent systems with second-order dynamics and non-periodic sampled-data exchange
  • 2014
  • Ingår i: 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014. - 9781479948468
  • Konferensbidrag (refereegranskat)abstract
    • In this paper consensus in second-order multi-agent systems with a non-periodic sampled-data exchange among agents is investigated. The sampling is random with bounded inter-sampling intervals. It is assumed that each agent has exact knowledge of its own state at all times. The considered local interaction rule is PD-type. The characterization of the convergence properties exploits a Lyapunov-Krasovskii functional method, sufficient conditions for stability of the consensus protocol to a time-invariant value are derived. Numerical simulations are presented to corroborate the theoretical results.
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