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<citation_list><citation key="ref0"><doi>10.1016/S0967-0661(99)00047-7</doi><unstructured_citation>Liu, G. P., &amp; Daley, S., &quot;Optimal-tuning PID controller design in the frequency-domain with application to rotary hydraulic systems,&quot; Control Engineering Practice, 7, pp. 821-830, 1999.</unstructured_citation></citation><citation key="ref1"><doi>10.1109/87.654876</doi><unstructured_citation>McCormack, A. S., &amp; Godfrey, K., &quot;Rule-based auto-tuning based on frequency domain identification,&quot; IEEE Transactions on Control Systems Technology, 6(1), 43-61, 1998.</unstructured_citation></citation><citation key="ref2"><unstructured_citation>Bernardo Sousa Machado Henriques, &quot;Estimation and Control of a Quadrotor Attitude&quot;, 2011.</unstructured_citation></citation><citation key="ref3"><doi>10.21533/pen.v6i1.164</doi><unstructured_citation>Sevkuthan KURAK1, &quot;Control and Estimation of a Quadcopter Dynamical Model&quot;, Periodicals of Engineering and Natural Sciences ISSN 2303-4521 Vol.6, No.1, March 2018, pp. 63-75, Available online at: http://pen.ius.edu.ba.</unstructured_citation></citation><citation key="ref4"><unstructured_citation>Oguz Kose et el. &quot;Dynamic Modeling and Simulation of Quadrotor for Different Flight Conditions&quot;, European Journal of Science and Technology No. 15, pp. 132-142, March 2019.</unstructured_citation></citation><citation key="ref5"><doi>10.1049/ip-d.1991.0015</doi><unstructured_citation>C. C. Hang and K. J. Astrom, &quot;Refinements of the Ziegler-Nichols tuning formular, &quot;Proc. Inst. Elect. Eng., Vol. 138, pt. D, pp. 111-118, 1991.</unstructured_citation></citation><citation key="ref6"><unstructured_citation>Dong Hwa Kim, &quot;Experimental Research of Intelligent Multivariable 2-DOF PID Control System for DCS,&quot; International Journal of Systems Applications, Engineering &amp; Development, July 2013, pp. 148-157.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>D. H. Kim, &quot;Application of a multivariable PID controller with a neural network tuning method to the heat exchange,&quot; FUZZ-IEEE, pp. 23-25, Aug.1998, Seoul.</unstructured_citation></citation><citation key="ref8"><doi>10.5391/IJFIS.2003.3.1.078</doi><unstructured_citation>Dong Hwa Kim, &quot;Multiobjective PI controller tuning of multivariable boiler control system using immune algorithm,&quot; KFIS, Vol. 3, No. 1, pp.78-86, 2003.</unstructured_citation></citation><citation key="ref9"><doi>10.17148/IARJSET.2020.71002</doi><unstructured_citation>Dong Hwa Kim, &quot;A Study on Improving Lecture Skill and Implementation of Anti-reset and Bampless Using 2-DOF-PID Controller and Python IARJSET, Vol. 7, Issue 10, October 2020, 2394-1588.</unstructured_citation></citation><citation key="ref10"><doi>10.1111/j.1934-6093.2002.tb00084.x</doi><unstructured_citation>C. H. Lee and C. C. Teng, &quot;A Novel Robust PID Controllers Design by Fuzzy Neural Network,&quot; Asian Journal of Control, Vol. 4, No. 4, pp. 433-438, 2002.</unstructured_citation></citation><citation key="ref11"><doi>10.1155/2018/3823201</doi><unstructured_citation>Jemie Muliadi, &quot;Neural Network Control System of UAV Altitude Dynamics and Its Comparison with the PID Control System,&quot; Journal of Advanced Transportation Volume 2018.</unstructured_citation></citation><citation key="ref12"><doi>10.1155/2019/2016416</doi><unstructured_citation>Moussa Labbadi, et el, &quot;Robust Integral Terminal Sliding Mode Control for Quadrotor UAV with External Disturbances,&quot; International Journal of Aerospace Engineering, Volume 2019, Article ID 2016416, 1-10 pages, https://doi.org/10.1155/2019/2016416.</unstructured_citation></citation><citation key="ref13"><unstructured_citation>Dong Hwa Kim, &quot;Decentralized PID Controller Tuning for Multivariable Process Using Multiobjective Optimization Based on Bacterial Foraging,&quot; IEEE 2005 Intelligent computing, Lecture Notes in Computer Science Proceeding of Springer (SCI), Aug. 23-26, 2005, China.</unstructured_citation></citation><citation key="ref14"><unstructured_citation>Ramiro Ibarra Pérez, et el, &quot;Attitude Control of a Quadcopter Using Adaptive Control Technique,&quot;</unstructured_citation></citation><citation key="ref15"><unstructured_citation>https://www.intechopen.com/chapters/57334.</unstructured_citation></citation><citation key="ref16"><doi>10.3390/en14051232</doi><unstructured_citation>Wojciech Giernacki, et el, &quot;Mathematical Modeling of the Coaxial Quadrotor Dynamics for Its Attitude and Altitude Control,&quot; J. Mathematical Modeling of the Coaxial Quadrotor Dynamics for Its Attitude and Altitude Control. Energies 2021, 14, 1232. https:// doi.org/10.3390/en14051232.</unstructured_citation></citation><citation key="ref17"><unstructured_citation>https://www.techlearning.com/buying-guides/best-dronefor-education-2020.</unstructured_citation></citation><citation key="ref18"><doi>10.1177/1756829316675882</doi><unstructured_citation>Batıkan E Demir, et el, &quot;Real-time trajectory tracking of an unmanned aerial vehicle using a self-tuning fuzzy proportional integral derivative controller,&quot; International Journal of Micro Air Vehicles, Vol. 8(4) 252-268, 2016.</unstructured_citation></citation><citation key="ref19"><unstructured_citation>J. G. Ziegler and N. B. Nichols, &quot;Optimum Settings for Automatic Controllers,&quot; Trans. ASME, Vol. 64, pp. 759-768, 1942.</unstructured_citation></citation><citation key="ref20"><doi>10.1016/S0165-0114(01)00051-3</doi><unstructured_citation>C. H. Lee and C. C. Teng, &quot;Tuning of PID Controllers for Stable and Unstable Processes Based on Gain and Phase Margin Specifications: A Fuzzy Neural Approach,&quot; International Journal of Fuzzy Systems, Vol. 3, No. 1, pp. 346-355, 2001.</unstructured_citation></citation><citation key="ref21"><doi>10.21533/pen.v6i1.164</doi><unstructured_citation>Sevkuthan KURAK et el, &quot;Control and Estimation of a Quadcopter Dynamical Model,&quot; Periodicals of Engineering and Natural Sciences, Vol.6, No.1, March 2018, pp. 63-75.</unstructured_citation></citation><citation key="ref22"><unstructured_citation>Oguz Kose, et. El, &quot;Dynamic Modeling and Simulation of Quadrotor for Different Flight Conditions,&quot; European Journal of Science and Technology No. 15, pp. 132-142, March 2019.</unstructured_citation></citation><citation key="ref23"><doi>10.1016/j.proeng.2014.12.139</doi><unstructured_citation>Anežka Chovancová, et.el, &quot;Mathematical Modelling and Parameter Identification of Quadrotor, ScienceDirect (Procedia Engineering), 96 (2014) 172 - 181.</unstructured_citation></citation><citation key="ref24"><unstructured_citation>S. Jamebozorg, &quot;Multivariable Decoupling Control System Based on Generalized Diagonal Dominance,&quot; International Journal of Electronics Communication and Computer Engineering, Volume 6, Issue 2, 2015.</unstructured_citation></citation><citation key="ref25"><doi>10.1155/2018/9897684</doi><unstructured_citation>Rui Ma, et el, &quot;Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter,&quot; Journal of Robotics, Volume 2018, Article ID 9897684, 12 pages.</unstructured_citation></citation><citation key="ref26"><unstructured_citation>Anuradha Purty, et. El, &quot;Comparative Study of Decoupler with Different Controllers for Two Inputs and Two Output System,&quot; International Journal of Innovative Research in Science, Engineering and Technology, Vol. 6, Issue 1, January 2017.</unstructured_citation></citation><citation key="ref27"><unstructured_citation>N. ROY, S. MENSAH, &quot;Design of a multivariable controller for a CANDU 600MW Nuclear power plant using the INA method, AECL-8342, 1984.</unstructured_citation></citation><citation key="ref28"><unstructured_citation>Hamid Saeed Khan, et el, &quot;Attitude and Altitude Control of Quadrotor by Discrete PID control and Non-linear Model Predictive Control,&quot; https://www.researchgate.net/publication/304701608, 2015.</unstructured_citation></citation><citation key="ref29"><doi>10.1155/2015/403236</doi><unstructured_citation>J. López, et el, &quot;A Robust H ∞ Controller for an UAV Flight Control System, &quot;Scientific World Journal. 2015; 2015.</unstructured_citation></citation><citation key="ref30"><unstructured_citation>Dong Hwa Kim, &quot;Robust tuning of PID controllers with disturbance rejection using bacterial foraging-based optimization,&quot; WSEAS Transaction on systems Vol. 3, No. 9, 2004, pp. 2834-2840.</unstructured_citation></citation><citation key="ref31"><unstructured_citation>Dong Hwa Kim, Jae Hoon Cho, &quot;Robust PID using Gain/Phase margin and advanced immune algorithm,&quot; WSEAS Transaction on systems Vol. 3, No. 9, 2004, pp. 2841-2851.</unstructured_citation></citation><citation key="ref32"><doi>10.2514/6.2007-6461</doi><unstructured_citation>Gabriel M. Hoffmann,&quot; Quadrotor Helicopter Flight Dynamics and Control: Theory and Experiment,&quot; AIAA Guidance, Navigation and Control Conference and Exhibit, 20 - 23 August 2007, pp. 1-20, 2007.</unstructured_citation></citation><citation key="ref33"><doi>10.1155/2014/320526</doi><unstructured_citation>Xiaodong Zhang, &quot;A Survey of Modelling and Identification of Quadrotor Robot,&quot; Volume 2014, Article ID 320526, pp. 1-16, 2014.</unstructured_citation></citation><citation key="ref34"><doi>10.1155/2014/637034</doi><unstructured_citation>Dewei Zhang,&quot; The Quadrotor Dynamic Modeling and Indoor Target Tracking Control Method,&quot; Volume 2014, Article ID 637034, 9 pages http://dx.doi.org/10.1155/2014/637034, 2014.</unstructured_citation></citation><citation key="ref35"><unstructured_citation>Aurelio Bermu ́dez et el, &quot;Drone challenge: A platform for promoting programming and robotics skills in K-12 education,&quot; International J. of advanced robot systems, 2018, http://www.creativecommons.org/licenses/by/4.0/)</unstructured_citation></citation><citation key="ref36"><unstructured_citation>Rahul Abasaheb Bhosale, &quot;Mathematical Modeling and Simulation of Quadcopter-UAV Using PID Controller,&quot; IOSR Journal of Engineering (IOSRJEN), PP 29-36, 2018.</unstructured_citation></citation><citation key="ref37"><doi>10.3390/app9102122</doi><unstructured_citation>Nguyen Xuan-Mung, &quot;Improved Altitude Control Algorithm for Quadcopter Unmanned Aerial Vehicles,&quot; Appl. Sci. Vol. 9, 2019.</unstructured_citation></citation><citation key="ref38"><doi>10.1109/SSCI.2018.8628836</doi><unstructured_citation>Ayad Al-Mahturi, &quot;Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic,&quot; IEEE Symposium Series on Computational Intelligence SSCI, pp. 236-241, 2018.</unstructured_citation></citation><citation key="ref39"><doi>10.1155/2018/3823201</doi><unstructured_citation>Jemie Muliadi and Benyamin Kusumoputro, &quot;Neural Network Control System of UAV Altitude Dynamics and Its Comparison with the PID Control System,&quot; Journal of Advanced Transportation Volume 2018, Article ID 3823201, pp. 1-18, 2018.</unstructured_citation></citation><citation key="ref40"><unstructured_citation>Min Xue, &quot;UAV Trajectory Modeling Using Neural Networks,&quot; https://ntrs.nasa.gov/search.jsp?R=20170009832 2020-01-04T12:53:39+00:00Z.</unstructured_citation></citation><citation key="ref41"><unstructured_citation>A. Van Wyk, &quot;Quadcopter Control using Intelligent Control Methods,&quot; https://www.researchgate.net/publication/325999949, 2017.</unstructured_citation></citation><citation key="ref42"><unstructured_citation>OsmanÇakir, &quot;Neural Network Control for Quadrotors,&quot; American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), pp.191-200, http://asrjetsjournal.org/</unstructured_citation></citation><citation key="ref43"><unstructured_citation>Jemin Hwangbo, &quot;Control of a Quadrotor with Reinforcement Learning,&quot; IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION, pp. 1-8, June, 2017.</unstructured_citation></citation><citation key="ref44"><unstructured_citation>DivyaJoshi, &quot;Drone technology uses and applications for commercial, industrial and military drones in 2020 and the future,&quot;</unstructured_citation></citation><citation key="ref45"><doi>10.1109/MRA.2012.2206474</doi><unstructured_citation>R. Mahony, V. Kumar, and P. Corke, &quot;Multirotor aerial vehicles: modeling, estimation, and control of quadrotor,&quot; IEEE Robotics and Automation Magazine, vol. 19, no. 3, pp. 20-32, 2012.</unstructured_citation></citation><citation key="ref46"><doi>10.1016/j.conengprac.2010.02.008</doi><unstructured_citation>P. Pounds, R. Mahony, and P. Corke, &quot;Modelling and control of a large quadrotor robot,&quot; Control Engineering Practice, vol. 18, no. 7, pp. 691-699, 2010.</unstructured_citation></citation><citation key="ref47"><doi>10.1007/s10846-009-9369-z</doi><unstructured_citation>J. H. Kim, M.-S. Kang, and S. Park, &quot;Accurate modeling and robust hovering control for a quad-rotor VTOL aircraft,&quot; Journal of Intelligent and Robotic Systems, vol. 57, no. 1-4, pp. 9-26, 2010.</unstructured_citation></citation><citation key="ref48"><doi>10.1109/MRA.2012.2205629</doi><unstructured_citation>H. Lim, J. Park, D. Lee, and H. J. Kim, &quot;Build your own quadrotor: Opensource projects on unmanned aerial vehicles,&quot; IEEE Robotics and Automation Magazine, vol. 19, no. 3, pp. 33- 45, 2012.</unstructured_citation></citation><citation key="ref49"><doi>10.1109/ICRA.2011.5980409</doi><unstructured_citation>D. Mellinger and V. Kumar, &quot;Minimum snap trajectory generation and control for quadrotors,&quot; in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '11), pp. 2520-2525, IEEE, Shanghai, China, May 2011.</unstructured_citation></citation><citation key="ref50"><doi>10.1109/ROBIO.2012.6491125</doi><unstructured_citation>Q. Zhan, J. Q. Wang, and X. Xi, &quot;Control system design and experiments of a quadrotor,&quot; in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO '12), pp. 1152-1157, IEEE, Guangzhou, China, December 2012.</unstructured_citation></citation><citation key="ref51"><unstructured_citation>L. Jun and Y. T. Li, &quot;Dynamic analysis and PID control for a quadrotor,&quot; in Proceedings of the International Conference on Mechatronics and Automation, pp. 573-578, IEEE, Beijing, China, August 2011.</unstructured_citation></citation><citation key="ref52"><unstructured_citation>A. L. Salih, M. Moghavvemi, H. A. F. Mohamed, and K. S. Gaeid, &quot;Flight PID controller design for a UAV quadrotor,&quot; Scientific Research and Essays, vol. 5, no. 23, pp. 3660-3667, 2010.</unstructured_citation></citation><citation key="ref53"><doi>10.2514/6.2010-8362</doi><unstructured_citation>A. B. Milhim, Y. Zhang, and C. A. Rabbath, &quot;Quadrotor UAV-high fidelity modeling and nonlinear PID control,&quot; in Proceedings of AIAA Modeling and Simulation Technologies Conference, pp. 2010-8362, Toronto, Canada, 2010.</unstructured_citation></citation><citation key="ref54"><doi>10.1109/ISKE.2010.5680812</doi><unstructured_citation>M. Santos, V. Lo ́pez, and F. Morata, &quot;Intelligent fuzzy controller of a quadrotor,&quot; in Proceedings of the IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE '10), pp. 141-146, IEEE, Hangzhou, China, November 2010.</unstructured_citation></citation><citation key="ref55"><doi>10.1049/ip-cta:19990373</doi><unstructured_citation>C. Vlachos, &quot;Genetic approach to decentralized PI controller tuning for multivariable processes,&quot; IEE Proc.-Control Theory Appl., Vol. 146, No. 1, pp. 58-64, March 1999.</unstructured_citation></citation><citation key="ref56"><unstructured_citation>Vrancic, &quot;Tuning of decoupling controller by using MOMI method,&quot; Report, Dept. of Computer Automation and Control, Jozef Stefan Institute, Solvenia.</unstructured_citation></citation><citation key="ref57"><unstructured_citation>Dong Hwa Kim, &quot;Robust Intelligent Tuning of PID Controller for Multivarlable System Using Clonal Selection and Fuzzy Logic,&quot; KES2005, Melbourne, 2005.</unstructured_citation></citation><citation key="ref58"><doi>10.1016/S0019-0578(00)00028-8</doi><unstructured_citation>Wang, Q.G., B. Huang, X. Guo, &quot;Auto-tuning of TITO decoupling controllers from step tests&quot;, ISA Transactions, Vol. 39, pp. 407-418, 2000.</unstructured_citation></citation><citation key="ref59"><doi>10.1109/4235.910467</doi><unstructured_citation>Reato A. Krohling and joost P.Rey, &quot;Design of Optimal Disturbance Rejection PID Controllers Using Genetic Algorithms,&quot; IEEE Trans. Evolutionary and computation. Vol. 5, No. 1, Feb. 2001.</unstructured_citation></citation><citation key="ref60"><doi>10.1109/NAFIPS.2004.1336293</doi><unstructured_citation>Dong Hwa Kim and Jae Hoon Cho, &quot;Intelligent tuning of PID Controller with disturbance rejection function using immune algorithm,&quot; IEEE-CIMSA2004 conference, 2004.</unstructured_citation></citation><citation key="ref61"><unstructured_citation>Heba talla Mohamed Nabil ElKholy, &quot;Dynamic Modeling and Control of a Quadrotor Using Linear and Nonlinear Approaches,&quot; The American University in Cairo (AUC), Master thesis, 2014.</unstructured_citation></citation><citation key="ref62"><doi>10.1137/0307004</doi><unstructured_citation>ELMER G. GILBERT, &quot;The decoupling of multivariable system by state feedback,&quot; SIAM J. CONTROL, Vol. 7, No. 1, February 1969.</unstructured_citation></citation><citation key="ref63"><unstructured_citation>E. Okyere, &quot;LQR controller design for Qua-rotor helicopters,&quot; The Journal of Engineering, June 2018.</unstructured_citation></citation><citation key="ref64"><doi>10.3390/s19010046</doi><unstructured_citation>N. Koksal et el, M, &quot;Adaptive Linear Quadratic Attitude Tracking Control of a Quadrotor UAV Based on IMU Sensor Data Fusion, October 2018.</unstructured_citation></citation><citation key="ref65"><doi>10.21533/pen.v6i1.164</doi><unstructured_citation>Sevkuthan KURAK et el, &quot;Control and Estimation of a Quadcopter Dynamical Model,&quot; Periodicals of Engineering and Natural Science, Vol.6, No.1, pp. 63-75, 2018.</unstructured_citation></citation><citation key="ref66"><doi>10.3390/s19010046</doi><unstructured_citation>N. Koksal, et el, &quot;Adaptive Linear Quadratic Attitude Tracking Control of a Quadrotor UAV Based on IMU Sensor Data Fusion,&quot; Sensors Vol. 19, No. 46, 2019.</unstructured_citation></citation><citation key="ref67"><unstructured_citation>Martín A, et el, &quot;Trajectory planning for an unmanned quadrotor,&quot; https://www.researchgate.net/publication/315734938, Conference, Nov. 2016.</unstructured_citation></citation><citation key="ref68"><doi>10.4304/jcp.6.6.1064-1070</doi><unstructured_citation>Zeng-Rong Hu, &quot;Analytical Design of PID Decoupling Control for TITO Processes with Time Delays,&quot; Journal of computers, Vol. 6, No. 6, June 2011.</unstructured_citation></citation><citation key="ref69"><doi>10.1155/2015/361581</doi><unstructured_citation>Ziyang Zhen, &quot;Information Fusion Based Decoupling Control for Multivariable Nonlinear System,&quot; Mathematical Problems in Engineering Vol. 2015, Article ID 361581, 10 pages http://dx.doi.org/10.1155/2015/361581</unstructured_citation></citation></citation_list>
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