Browsing by Author "Yıldız, Yıldıray"
Now showing items 1-20 of 39
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A 3D game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts
Albaba, Berat Mert; Musavi, Negin; Yıldız, Yıldıray (Elsevier, 2021-10-23)Predicting the outcomes of integrating Unmanned Aerial System (UAS) into the National Airspace System (NAS) is a complex problem, which is required to be addressed by simulation studies before allowing the routine access ... -
Adaptive control allocation for constrained systems
Tohidi, Seyed Shahabaldin; Yıldız, Yıldıray; Kolmanovsky, I. (Elsevier, 2020-06)This paper proposes an adaptive control allocation approach for uncertain over-actuated systems with actuator saturation. The proposed control allocation method does not require uncertainty estimation or persistency of ... -
Adaptive control allocation for over-actuated systems with actuator saturation
Tohidi, Seyed Shahabaldin; Yıldız, Yıldıray; Kolmanovsky, Ilya (Elsevier B.V., 2017)This paper proposes an adaptive control allocation approach for over-actuated systems with actuator saturation. The methodology can tolerate actuator loss of effectiveness without utilizing the control input matrix estimation, ... -
Adaptive game-theoretic decision making for autonomous vehicle control at roundabouts
Tian, R.; Li, S.; Li, N.; Kolmanovsky, İ.; Girard, A.; Yıldız, Yıldıray (Institute of Electrical and Electronics Engineers Inc., 2019)In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection. The algorithm is based on a game-theoretic model representing the interactions between the ego vehicle and ... -
An adaptive human pilot model for adaptively controlled systems
Habboush, Abdullah; Yıldız, Yıldıray (IEEE, 2021-12-17)Despite their success in handling uncertain dynamical systems that are prone to failure, adaptive controllers are observed to have unfavorable interactions with human pilots in certain applications. To alleviate this ... -
Adaptive human pilot model for uncertain systems
Tohidi, Shahab; Yıldız, Yıldıray (IEEE, 2019-06)Inspired by humans' ability to adapt to changing environments, this paper proposes an adaptive human model that mimics the crossover model despite input bandwidth deviations and plant uncertainties. The proposed human pilot ... -
Air fuel ratio control using delay resistant closed loop reference model adaptive control
Yıldız, Yıldıray (Hezarfen Havacılık ve Uzay Teknolojileri Enstitüsü, 2018)The focus of this paper is the air fuel ratio control of spark ignited engines. It is known that for an efficient removal of the pollutants from the exhaust gases, air fuel ratio has to be kept within a narrow band around ... -
Controlling a launch vehicle at exoatmospheric flight conditions via adaptive control allocation
Yıldız, Yıldıray (Turkiye Klinikleri, 2020)The focus of this paper is the control of a reusable launch vehicle at exoatmospheric flight conditions, in the presence of actuator effectiveness uncertainty. Since during exoatmospheric flight, dynamic pressure is ... -
Cyberphysical human systems: an introduction to the special issue
Yıldız, Yıldıray (IEEE, 2020)Systems where humans, physical plants, and cybertechnologies are interconnected to accomplish a goal are called cyberphysical human systems (CPHSs). In CPHSs, humans are considered integral parts of complex cyberphysical ... -
Delay-Aware Control Designs of Wide-Area Power Networks
Dibaji, Seyed Mehran; Yıldız, Yıldıray; Annaswamy, Anuradha; Chakrabortty, Aranya; Soudbakhsh, Damoon (Elsevier B.V., 2017)A co-design of the implementation platform and control strategies for wide-area power networks is addressed. Limited and shared resources among control and non-control applications introduce delays in transmitted messages. ... -
Discrete adaptive control allocation
Tohidi, Seyed Shahabaldin; Yıldız, Yıldıray (IEEE, 2021-07-21)The main purpose of a control allocator is to distribute a total control effort among redundant actuators. This paper proposes a discrete adaptive control allocator for over-actuated sampled-data systems in the presence ... -
Driver modeling through deep reinforcement learning and behavioral game theory
Albaba, Berat Mert; Yıldız, Yıldıray (Institute of Electrical and Electronics Engineers, 2021-05-05)In this work, a synergistic combination of deep reinforcement learning and hierarchical game theory is proposed as a modeling framework for behavioral predictions of drivers in highway driving scenarios. The modeling ... -
Effects of linear filter on stability and performance of human-in-the-loop model reference adaptive control architectures
Yousefi, Ehsan; Demir, Didem Fatma; Sipahi, R.; Yücelen, T.; Yıldız, Yıldıray (ASME, 2017)Model reference adaptive control (MRAC) can effectively handle various challenges of the real world control problems including exogenous disturbances, system uncertainties, and degraded modes of operations. In human-in-the-loop ... -
Explicit adaptive time-delay compensation for bilateral teleoperation
Abidi, K.; Yıldız, Yıldıray; Körpe, Bekir Emre (IEEE, 2015)This paper proposes a control framework that addresses the destabilizing effect of communication time-delays and system uncertainties in telerobotics, in the presence of force-feedback. Force feedback is necessary to obtain ... -
Fault tolerant control for over-actuated systems: an adaptive correction approach
Tohidi, Seyed Shahabaldin; Yıldız, Yıldıray; Kolmanovsky, İ. (IEEE, 2016)This paper proposes an adaptive fault tolerant control allocation approach for over-actuated systems. The methodology does not utilize the control input matrix estimation to tolerate actuator faults and, therefore, the ... -
A fault tolerant vehicle stability control using adaptive control allocation
Temiz, Ozan; Çakmakçı, Melih; Yıldız, Yıldıray (ASME, 2018)This paper presents an integrated fault-tolerant adaptive control allocation strategy for four wheel frive - four wheel steering ground vehicles to increase yaw stability. Conventionally, control of brakes, motors and ... -
Game Theoretic Modeling of Vehicle Interactions at Unsignalized Intersections and Application to Autonomous Vehicle Control
Li, N.; Kolmanovsky, I.; Girard, A.; Yıldız, Yıldıray (IEEE, 2018)In this paper, we discuss a game theoretic approach to model the time-extended, multi-step, and interactive decision making of vehicles at unsignalized intersections. The vehicle interaction model is then used to define ... -
A game theoretical model of traffic with multiple interacting drivers for use in autonomous vehicle development
Oyler, D. W.; Yıldız, Yıldıray; Girard, A. R.; Li, N. I.; Kolmanovsky, İ. V. (IEEE, 2016)This paper describes a game theoretical model of traffic where multiple drivers interact with each other. The model is developed using hierarchical reasoning, a game theoretical model of human behavior, and reinforcement ... -
A game theoretical modeling and simulation framework for the integration of unmanned aircraft systems in to the national airspace
Musavi, Negin; Tekelioğlu, K. B.; Yıldız, Yıldıray; Güneş, Kerem; Onural, Deniz (AIAA, 2016)The focus of this paper is to present a game theoretical modeling and simulation frame- work for the integration of Unmanned Aircraft Systems (UAS) into the National Airspace system (NAS). The problem of predicting the ... -
Game theory-based traffic modeling for calibration of automated driving algorithms
Yıldız, Yıldıray; Li, Nan; Zhang, M.; Kolmanovsky, I.; Girard, A. (Springer, Cham, 2019)Automated driving functions need to be validated and calibrated so that a self-driving car can operate safely and efficiently in a traffic environment where interactions between it and other traffic participants constantly ...