Relevant bibliographies by topics / Network-induced delays

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Network-induced delays'

Author: Grafiati
Published: 19 February 2023
Last updated: 17 July 2024

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Journal articles on the topic "Network-induced delays"

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Zhou, Xuede, Yan Wang, Shenglin Zhang, and Zhicheng Ji. "Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays." Electronics 12, no. 19 (September 22, 2023): 4003. http://dx.doi.org/10.3390/electronics12194003.

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To address the presence of network-induced delays in networked control systems (NCSs), a dual event-triggered mechanism (DETM) is used to investigate the problem of reducing network delays and controller co-design. Firstly, the DETM of the sensor–controller (SC) and the controller–actuator (CA) is adopted. By determining whether the sampled data meet the event-triggered threshold conditions for network transmission, we effectively reduce the sampled data transmitted over the network, which can reduce a network delay by reducing occupation of the network resources. Secondly, a dual event-triggered NCS model with a network-induced delay is developed, and a Lyapunov function including a DETM and network-induced delay is chosen. The functional upper limit of the Lyapunov function is estimated by combining the Wirtinger’s-based integral inequality with the reciprocally convex approach. This results in a stability criterion for systems with low conservativeness and a controller co-design method for a DETM. Finally, the availability of this method was verified through a numerical example and case study.
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González-Hernández, Luis Arturo, Bruno Francois, and Eduardo Javier Moreno-Valenzuela. "Robust networ ccontrol of an arm manipulator to time delays." Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI 10, Especial4 (October 5, 2022): 168–72. http://dx.doi.org/10.29057/icbi.v10iespecial4.9230.

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Feedback control systems with network as information channels between sensors and between controllers and actuators, are called Network Control Systems (NCS). Network in the loop makes the analysis and design of a proper controller quite different from the traditional ones. Controllers for MIMO plants with wireless communication channels have different type of problems as to compete for the network resources, losses of data packages and presence of communication delays. This work deals with the problem of delays present in the feedback system. Various methodologies have been proposed to deal with the problem of network induced delays which depends on the nature of the delay as: constant, continuous discrete and random delays, and in MIMO systems independent channel delays This paper deals with design of a robust H∞ controller for a MIMO system with time delays limited to an interval, such as obtain a close loop system satisfy robust stability and robust performance specifications in ample ranges of time delays. The method is applied to a three degree of freedom arm manipulator.
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Zhu, Yang, Meng Zhang, and Qiang Jiang. "Decentralized Predictor Stabilization for Interconnected Networked Control Systems with Large Uncertain Delays and Event-Triggered Input." Electronics 13, no. 5 (February 20, 2024): 819. http://dx.doi.org/10.3390/electronics13050819.

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In this article, we propose a control scheme with predictors in a decentralized manner for coupled networked control systems (NCSs) under uncertain, large time-delays and event-triggered inputs. The network-induced delays are handled via the prediction; thus, the delay value is allowed to be large, and the burden of the network is relieved by the event-triggered input. Two methods are employed to deal with the large delay issue: the state and output feedback. When the state of each subsystem is measurable, full-state feedback is used, whereas when the plant state cannot be measured, output feedback is employed with the help of an observer, which is more common in practice. Instead of treating the interactive plants like a global system, the exponential stability of the coupled systems, under decentralized predictors with asynchronous sampled-data feedback, is analyzed in a decentralized way. Finally, the proposed methods are verified via an example of three interconnected cart–pendulum systems, while such systems would not be stabilizable by the traditional approach when the network-induced delays are relatively large.
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Cao, Wanke, Zhiyin Liu, Yuhua Chang, and Antoni Szumanowski. "Direct Yaw-Moment Control of All-Wheel-Independent-Drive Electric Vehicles with Network-Induced Delays through Parameter-Dependent Fuzzy SMC Approach." Mathematical Problems in Engineering 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/5170492.

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This paper investigates the robust direct yaw-moment control (DYC) through parameter-dependent fuzzy sliding mode control (SMC) approach for all-wheel-independent-drive electric vehicles (AWID-EVs) subject to network-induced delays. AWID-EVs have obvious advantages in terms of DYC over the traditional centralized-drive vehicles. However it is one of the most principal issues for AWID-EVs to ensure the robustness of DYC. Furthermore, the network-induced delays would also reduce control performance of DYC and even deteriorate the EV system. To ensure robustness of DYC and deal with network-induced delays, a parameter-dependent fuzzy sliding mode control (FSMC) method based on the real-time information of vehicle states and delays is proposed in this paper. The results of cosimulations with Simulink® and CarSim® demonstrate the effectiveness of the proposed controller. Moreover, the results of comparison with a conventional FSMC controller illustrate the strength of explicitly dealing with network-induced delays.
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Zhang, Wen-An, Junkai Jin, Xiang Qiu, and Li Yu. "Delay Compensation for Teleoperation Systems Based on Communication Disturbance Observers." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 7 (December 20, 2016): 1044–50. http://dx.doi.org/10.20965/jaciii.2016.p1044.

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This paper investigates the control problem for a class of teleoperation systems with communication delays. The network-induced delays are usually inevitable in teleoperation systems, and may be time varying and unpredictable. Since the conventional Smith predictor is only useful for fixed delays, a novel delay compensation and controller design method is proposed in this paper. The proposed method combines a disturbance rejection controller and a communication disturbance observer (CDOB). Simulations are provided to show the effectiveness and superiority of the proposed delay compensation and controller design method.
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Chen, Qiuxia, Ying Liu, and Haoqi Zhu. "Robust Output Feedback Model Predictive Control for a Class of Networked Control Systems with Nonlinear Perturbation." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/154158.

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This paper is concerned with the design problem of robust dynamic output feedback model predictive controllers for a class of discrete-time systems with time-varying network-induced delays and nonlinear perturbation. The designed controllers achieve on-line suboptimal receding horizon guaranteed cost such that the system can be stabilized for all admissible uncertainties. A novel delay compensation strategy is proposed to eliminate the effects of the time-varying network-induced delays. By using multistep prediction and the receding optimization, the delay-dependent sufficient condition is derived for the existence of delay compensation controllers. By employing the cone complementarity linearization (CCL) idea, a nonlinear minimization problem with linear matrix inequality (LMI) constraints is formulated to design the desired output feedback controllers, and an iterative algorithm involving convex optimization is presented to solve the nonlinear minimization problem. Finally, an example is given to illustrate the feasibility and effectiveness of the proposed results.
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Yang, Mingjin, Yu-Long Wang, Deliang Zeng, Tengfei Zhang, and Jicai Li. "Game theoretic-based optimal load frequency control of power systems with network-induced delays." Transactions of the Institute of Measurement and Control 42, no. 1 (May 23, 2019): 22–30. http://dx.doi.org/10.1177/0142331218793167.

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This paper presents a game theoretic-based load frequency control (LFC) scheme for power systems with network-induced delays. First, a dynamic model of two-area LFC systems is developed under consideration of bounded network-induced delays. Second, the optimal control problem of power systems with network-induced delays is formulated as a stochastic linear quadratic game. Then, by using differential games and Lyapunov theories, the game theoretic-based optimal load frequency controllers are designed for the system under consideration, and an algorithm is presented to make the desired optimal LFC gains solvable. Finally, a case study is carried out to show the effectiveness of the proposed method.
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Li, Xue Jun, Wei Hong, and Yan Su. "Idle Speed Control for GDI Engines with Interval Time-Delay." Advanced Materials Research 588-589 (November 2012): 1598–601. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1598.

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The gasoline direct injection (GDI) engine is a highly non-linear and a delayed system. The engine modle with time-delays is derived. The delays consist of an intake to torque production state delay and a network -induced interval delay. Base on the Liapunov-Krasovskii function, the criterion of interval delay control system is proposed, which ensure the idle speed control system is stability as well as robust. The simulation results show that the H∞ control has good robustness,which improves the stability of the idle speed of the GDI engine.
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Lei, Qi, and Ying Luo. "Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays." Discrete Dynamics in Nature and Society 2021 (April 2, 2021): 1–14. http://dx.doi.org/10.1155/2021/5530878.

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An event-triggered-based external consensus control protocol with delay compensation for networked multiagent systems (NMASs) with nonlinear dynamics and network-induced delays is discussed in this paper. An RBF-ARX modelling method is adopted to approximate a nonlinear system. By utilizing the RBF-ARX model, the locally linearized time series model can be obtained to describe the behaviour of agents with nonlinear characteristics. An event-triggered control protocol with communication delay compensation is proposed to reduce the effects of network-induced delays and the times of the agent’s control update and communication between others by applying the idea of a prediction strategy. The event-triggered mechanism for each agent only depends on the deviation between its own output and the delay-compensated output of neighboring agents. Then, a distributed event-triggered-based and delay-compensated external consensus control protocol is given. Under this proposed control protocol, both the consensus and stability of the system can be proved. Finally, a numerical simulation is performed to verify the availability of our results.
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Nafir, Noureddine, Mohamed Rouamel, Fayçal Bourahala, and Samir Bouzoualegh. "Delay-Dependent Stability Improvement for Networked Control Systems: a Sampled Data Approach." Algerian Journal of Signals and Systems 7, no. 1 (March 31, 2022): 40–46. http://dx.doi.org/10.51485/ajss.v7i1.160.

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This paper concerns the stability conditions and controller design for sampled-data networked control systems (NCSs) model subject to network communication delays, the main objective is to guarantee the maximum allowable upper bounds of network-induced time-varying delays that keep the NCSs stable. First, Lyapunov-Krasovskii functional with simple and double-integral terms is constructed considering both upper and lower bounds of network delay. Then, less conservative Linear Matrix Inequalities (LMIs) stability conditions are established using null terms to introduce free weighting matrices based on the Leibniz-Newton formula. Furthermore, Finsler's lemma is used for the relaxation of the obtained LMI's stability conditions using slack decision variables. It is also used to decouple Lyapunov-Krasovskii matrices from the system ones. The application of the proposed approach for different NCSs gives higher upper delay bounds compared with other methods.
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Dissertations / Theses on the topic "Network-induced delays"

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(9800522), Yanpeng Guan. "Analysis and design of event-triggered networked control systems." Thesis, 2013. https://figshare.com/articles/thesis/Analysis_and_design_of_event-triggered_networked_control_systems/13438043.

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Networked control systems (NCSs) have been receiving increasing research attention in the last decade due to their attractive advantages such as flexible installation, low cost and easy maintenance, which lead to the wide applications in industry, agriculture, aerospace, remote surgery, and so on. A fundamental property of NCSs is the introduced network channels, which are bandwidth limited. This thesis is mainly concerned with how to effectively save the limited network resources, network bandwidth and/or battery power, while some desired control performance can be maintained. For this purpose, event-triggered transmission schemes are considered for NCSs to reduce some unnecessary network transmissions. The idea of the event-triggered transmission scheme is that the current sampled data is released for transmission whenever the error between the current and the latest transmitted sampled data exceeds a pre-designed threshold. An input delay method together with sampled-data error bounds induced from event-triggered transmission schemes is employed to model the inter-event dynamics. In this thesis, the event-triggered transmission schemes are studied in linear NCSs with signal quantization, networkinduced delays, packet dropouts, respectively, followed by its application in a class of nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models.
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(9798392), Xiao Hua Ge. "Distributed H-infinity filtering over sensor networks." Thesis, 2014. https://figshare.com/articles/thesis/Distributed_H-infinity_filtering_over_sensor_networks/13437116.

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"This dissertation takes a filtering oriented point of view and systematically addresses modeling, filtering performance analysis, and filter design issues over sensor networks with network induced constraints. The overall aim of this dissertation is to expand knowledge about theory and applications of sensor networks. More specifically, rigorous and systematic theoretical frameworks of distributed H1 filtering for estimating an unavailable state signal through noisy measurement and a disturbed plant over sensor networks are established. Furthermore, new filtering concepts, filtering theory, filter design methods, and filtering algorithms are proposed to deal with various network-induced constraints."
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Book chapters on the topic "Network-induced delays"

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Hu, Jun, Zidong Wang, and Huijun Gao. "Recursive Filtering with Fading Measurements, Sensor Delays, and Correlated Noises." In Nonlinear Stochastic Systems with Network-Induced Phenomena, 63–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08711-5_3.

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Hu, Jun, Zidong Wang, and Huijun Gao. "Sliding Mode Control with Time-Varying Delays and Randomly Occurring Nonlinearities." In Nonlinear Stochastic Systems with Network-Induced Phenomena, 143–77. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08711-5_6.

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Hu, Jun, Zidong Wang, and Huijun Gao. "Sliding Mode Control with Randomly Occurring Uncertainties and Mixed Time Delays." In Nonlinear Stochastic Systems with Network-Induced Phenomena, 179–216. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08711-5_7.

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Kumar, Jitendra, Vishal Goyal, and Devbrat Gupta. "Study of Network-Induced Delays on Networked Control Systems." In Advances in Data and Information Sciences, 13–21. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0694-9_2.

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Alvarez-Aguirre, Alejandro, Nathan van de Wouw, Toshiki Oguchi, Kotaro Kojima, and Henk Nijmeijer. "Remote Tracking Control of Unicycle Robots with Network-Induced Delays." In Informatics in Control, Automation and Robotics, 225–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19539-6_15.

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Xu, Jian, Kwok Wai Chung, Ju Hong Ge, and Yu Huang. "Delay-Induced Hopf Bifurcation and Periodic Solution in a BAM Network with Two Delays." In Artificial Neural Networks – ICANN 2009, 534–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04277-5_54.

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Li, Lixiong, Minrui Fei, and Xiaobing Zhou. "Analysis on Network-Induced Delays in Networked Learning Based Control Systems." In Computational and Information Science, 310–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30497-5_49.

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Hu, Jun, Zidong Wang, and Huijun Gao. "$$H_\infty $$ H ∞ Sliding Mode Observer Design for Nonlinear Time Delay Systems." In Nonlinear Stochastic Systems with Network-Induced Phenomena, 119–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08711-5_5.

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Mao, Xiaochen, Xiangyu Zhou, Tiantian Shi, and Lei Qiao. "Autapse-Induced Complicated Oscillations of a Ring FHN Neuronal Network with Multiple Delayed Couplings." In New Trends in Nonlinear Dynamics, 183–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34724-6_19.

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Wang, Wei, Youhong Wan, and Xinyuan Liang. "State Estimation for Complex Network with One Step Induced Delay Based on Structural Controllability and Pinning Control." In Communications in Computer and Information Science, 575–84. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6373-2_58.

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Conference papers on the topic "Network-induced delays"

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Zou, Yuanyuan, Tongwen Chen, and Shaoyuan Li. "Predictive multirate control with random network-induced delays." In 2009 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2009. http://dx.doi.org/10.1109/icnsc.2009.4919238.

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Zhang, Yiming, Vincent Sircoulomb, and Nicolas Langlois. "Stable observer-based control for long network-induced delays." In 2012 24th Chinese Control and Decision Conference (CCDC). IEEE, 2012. http://dx.doi.org/10.1109/ccdc.2012.6244467.

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Chung, Tran Duc, Rosdiazli Ibrahim, Vijanth Sagayan Asirvadam, Nordin Saad, and Sabo Miya Hassan. "Effect of network induced delays on WirelessHART control system." In 2016 6th International Conference on Intelligent and Advanced Systems (ICIAS). IEEE, 2016. http://dx.doi.org/10.1109/icias.2016.7824045.

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Ma, Dan. "Stabilization for switched linear systems subject to network-induced delays." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852161.

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Kalmar-Nagy, Tamas. "Random matrix approach to linear control systems with network-induced delays." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434893.

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Yang, Yanping, Dawei Zhang, Qinglong Han, and Chen Peng. "Networked Active Vibration Control of Structural Systems Under Network-Induced Delays." In 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2018. http://dx.doi.org/10.1109/ccis.2018.8691333.

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Hisham, Suhaila Badarol, and Noriyuki Hori. "PIM-based Controller Design for Systems with Network-Induced Time Delays." In Software Engineering. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.781-059.

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Wang, Heng, Zhuwei Wang, Yifan Sun, Yuehui Guo, Chao Fang, Meng Li, and Yang Sun. "Optimal Control Design for Load Frequency Control with Network-induced Delays." In 2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2020. http://dx.doi.org/10.1109/iceict51264.2020.9334225.

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Caruntu, Constantin Florin, and Corneliu Lazar. "Modeling and predictive control for compensating network-induced time-varying delays." In Factory Automation (ETFA 2011). IEEE, 2011. http://dx.doi.org/10.1109/etfa.2011.6059062.

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Cloosterman, Marieke, Nathan van de Wouw, Maurice Heemels, and Henk Nijmeijer. "Robust Stability of Networked Control Systems with Time-varying Network-induced Delays." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.376765.

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Reports on the topic "Network-induced delays"

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Lers, Amnon, and Gan Susheng. Study of the regulatory mechanism involved in dark-induced Postharvest leaf senescence. United States Department of Agriculture, January 2009. http://dx.doi.org/10.32747/2009.7591734.bard.

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Postharvest leaf senescence contributes to quality losses in flowers and leafy vegetables. The general goal of this research project was to investigate the regulatory mechanisms involved in dark-induced leaf senescence. The regulatory system involved in senescence induction and control is highly complex and possibly involves a network of senescence promoting pathways responsible for activation of the senescence-associated genes. Pathways involving different internal signals and environmental factors may have distinctive importance in different leaf senescence systems. Darkness is known to have a role in enhancement of postharvest leaf senescence and for getting an insight into its regulatory mechanism/s we have applied molecular genetics and functional genomics approaches. The original objectives were: 1. Identification of dark-induced SAGs in Arabidopsis using enhancer/promoter trap lines and microarray approaches; 2. Molecular and functional characterization of the identified genes by analyzing their expression and examining the phenotypes in related knockout mutant plants; 3. Initial studies of promoter sequences for selected early dark-induced SAGs. Since genomic studies of senescence, with emphasis on dark-induced senescence, were early-on published which included information on potential regulatory genes we decided to use this new information. This is instead of using the uncharacterized enhancer/promoter trap lines as originally planned. We have also focused on specific relevant genes identified in the two laboratories. Based on the available genomic analyses of leaf senescence 10 candidate genes hypothesized to have a regulatory role in dark-induced senescence were subjected to both expression as well as functional analyses. For most of these genes senescence-specific regulation was confirmed, however, functional analyses using knock-out mutants indicated no consequence to senescence progression. The transcription factor WARK75 was found to be specifically expressed during natural and dark-induced leaf senescence. Functional analysis demonstrated that in detached leaves senescence under darkness was significantly delayed while no phenotypic consequences could be observed on growth and development, including no effect on natural leaf senescence,. Thus, WARKY75 is suggested to have a role in dark-induced senescence, but not in natural senescence. Another regulatory gene identified to have a role in senescence is MKK9 encoding for a Mitogen-Activated Protein Kinase Kinase 9 which is upregulated during senescence in harvested leaves as well as in naturally senescing leaves. MKK9 can specifically phosphorylate another kinase, MPK6. Both knockouts of MKK9 and MPK6 displayed a significantly senescence delay in harvested leaves and possibly function as a phosphorelay that regulates senescence. To our knowledge, this is the first report that clearly demonstrates the involvement of a MAP kinase pathway in senescence. This research not only revealed a new signal transduction pathway, but more important provided significant insights into the regulatory mechanisms underlying senescence in harvested leaves. In an additional line of research we have employed the promoter of the senescence-induced BFN1 gene as a handle for identifying components of the regulatory mechanism. This gene was shown to be activated during darkinduced senescence of detached leaves, as well as natural senescence. This was shown by following protein accumulation and promoter activity which demonstrated that this promoter is activated during dark-induced senescence. Analysis of the promoter established that, at least some of the regulatory sequences reside in an 80 bps long fragment of the promoter. Overall, progress was made in identification of components with a role in dark-induced senescence in this project. Further studies should be done in order to better understand the function of these components and develop approaches for modulating the progress of senescence in crop plants for the benefit of agriculture.
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