MARWAN A. SIMAAN

Prof. MARWAN A. SIMAAN

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Research Focus & Metrics

Academic Career Length

54Years (1973-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 1973 in Journal of Optimization Theory and Applications
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Journal Article
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MARWAN A. SIMAANMARWAN A. SIMAAN
MARWAN A. SIMAAN
JCJ. B. Cruz
J. B. Cruz

1 June 1973 in Journal of Optimization Theory and Applications
Verified
Journal Article
Closed access
PDF file
MARWAN A. SIMAANMARWAN A. SIMAAN
MARWAN A. SIMAAN
JCJ. B. Cruz
J. B. Cruz

12 January 2018 in IEEE Transactions on Automatic Control
Verified
Journal Article
Closed access
AGAzwirman Gusrialdi
Azwirman Gusrialdi
ZQZhihua Qu
Zhihua Qu
MARWAN A. SIMAANMARWAN A. SIMAAN
MARWAN A. SIMAAN
This technical note proposes a resilient cooperative control design for networked cooperative systems when subjected to external attacks. The systems considered in this paper can have any information topology described by a leader-follower digraph. A potential attack on such systems consists of unknown bounded signals generated from any linear or nonlinear finite-L2-gain exogenous dynamical system and injected distributively into nodes of the system's network. The purpose of the attack is to destabilize the consensus dynamics by intercepting the system's communication network and corrupting its local state feedback. The proposed resilient control design consists of introducing a virtual system with hidden network such that the overall system consisting of the original consensus system, the virtual system, and the attack dynamics is stable without requiring any information about the locations or nature of the attack. This is accomplished by utilizing the concept of competitive interaction to provide explicit design criteria for the hidden network of the virtual system to interact with the original system. A graph theoretical approach and a Lyapunov direct method are used to analyze

23 February 2017 in IEEE Transactions on Intelligent Transportation Systems
Verified
Journal Article
Open access
AGAzwirman Gusrialdi
Azwirman Gusrialdi
ZQZhihua Qu
Zhihua Qu
MARWAN A. SIMAANMARWAN A. SIMAAN
MARWAN A. SIMAAN
The increasing number of electric vehicles (EVs) on highways calls for the installment of adequate charging infrastructure. Since charging infrastructure has limited capacity, EVs need to wait at a charging station to get charged, and their waiting times may differ significantly from one location to another. This paper aims at developing a strategy to coordinate the queues among the charging stations, with only local information about traffic flows and the status of EV charging stations along a bidirectional highway, so that excessively long waiting times can be avoided. Specifically, a distributed algorithm is presented to schedule EV flows into neighboring charging stations, so that EVs are all appropriately served along the highway and that all the charging resources are uniformly utilized. In addition, a distributed decision making policy is developed to influence the aggregate number of EVs entering any given service station, so that each EV makes an appropriate decision (i.e., whether or not it should enter the next charging station) by contributing positively to meeting the desired queue length at service stations and by considering its own battery constraint. Performance improvement of the proposed strategy is illustrated via one of the highways in the United States, namely the Florida Turnpike.

1 September 2014 in Automatica
Verified
Journal Article
Closed access
ZQZhihua Qu
Zhihua Qu
MARWAN A. SIMAANMARWAN A. SIMAAN
MARWAN A. SIMAAN

22 June 2015 in IEEE Transactions on Aerospace and Electronic Systems
Verified
Journal Article
Closed access
WLWei Lin
Wei Lin
ZQZhihua Qu
Zhihua Qu
MARWAN A. SIMAANMARWAN A. SIMAAN
MARWAN A. SIMAAN
A linear-quadratic N-pursuer single-evader differential game is considered. The evader can observe all the pursuers but pursuers have limited observations of themselves and the evader. The evader implements the conventional feedback Nash strategy and the pursuers implement Nash strategies based on a novel concept of best achievable performance indices. This problem has potential applications in situations where a well-equipped unmanned vehicle is evading several weakly equipped pursuing vehicles. An illustrative example is solved, and several scenarios are presented.