[Abbaszadeh, M. and Marquez, H.J. (2009). LMI optimization approach to robust H∞ observer design and static output feedback stabilization for discrete-time nonlinear uncertain systems, International Journal of Robust and Nonlinear Control19(3): 313–340.10.1002/rnc.1310]Search in Google Scholar
[Alessandri, A. (2004). Observer design for nonlinear systems by using input-to-state stability, 43rd IEEE Conference on Decision and Control, 2004. CDC, Nassau, The Bahamas, Vol. 4, pp. 3892–3897.10.1109/CDC.2004.1429345]Search in Google Scholar
[Alessandri, A., Baglietto, M. and Battistelli, G. (2004). On estimation error bounds for receding-horizon filters using quadratic boundedness, IEEE Transactions on Automatic Control49(8): 1350–1355.10.1109/TAC.2004.832652]Search in Google Scholar
[Alessandri, A., Baglietto, M. and Battistelli, G. (2006). Design of state estimators for uncertain linear systems using quadratic boundedness, Automatica42(3): 497–502.10.1016/j.automatica.2005.10.013]Search in Google Scholar
[Alessandri, A. (2013). Design of time-varying state observers for nonlinear systems by using input-to-state stability, American Control Conference (ACC), Washington, DC, USA, pp. 280–285.10.1109/ACC.2013.6579850]Search in Google Scholar
[Brockman, M.L. and Corless, M. (1995). Quadratic boundedness of nonlinear dynamical systems, 34th IEEE Conference on Decision and Control, New Orleans, LA, USA, Vol. 1, pp. 504–509.]Search in Google Scholar
[Brockman, M.L. and Corless, M. (1998). Quadratic boundedness of nominally linear systems, International Journal of Control71(6): 1105–1117.10.1080/002071798221506]Search in Google Scholar
[Buciakowski, M., Witczak, M., Mrugalski, M. and Theilliol, D. (2017a). A quadratic boundedness approach to robust DC motor fault estimation, Control Engineering Practice66: 181–194.10.1016/j.conengprac.2017.06.014]Search in Google Scholar
[Buciakowski, M., Witczak, M., Puig, V., Rotondo, D., Nejjari, F. and Korbicz, J. (2017b). A bounded-error approach to simultaneous state and actuator fault estimation for a class of nonlinear systems, Journal of Process Control52: 14–25.10.1016/j.jprocont.2017.01.002]Search in Google Scholar
[Busawon, K.K. and Kabore, P. (2001). Disturbance attenuation using proportional integral observers, International Journal of Control74(6): 618–627.10.1080/00207170010025249]Search in Google Scholar
[Chadli, M. and Karimi, H.R. (2013). Robust observer design for unknown inputs Takagi–Sugeno models, IEEE Transactions on Fuzzy Systems21(1): 158–164.10.1109/TFUZZ.2012.2197215]Search in Google Scholar
[Chen, W.-H., Ballance, D.J., Gawthrop, P.J. and O’Reilly, J. (2000). A nonlinear disturbance observer for robotic manipulators, IEEE Transactions on Industrial Electronics47(4): 932–938.10.1109/41.857974]Search in Google Scholar
[Chen, W.-H., Yang, J., Guo, L. and Li, S. (2016). Disturbance-observer-based control and related methods—an overview, IEEE Transactions on Industrial Electronics63(2): 1083–1095.10.1109/TIE.2015.2478397]Search in Google Scholar
[Chibani, A., Chadli, M., Shi, P. and Braiek, N.B. (2017). Fuzzy fault detection filter design for T–S fuzzy systems in the finite-frequency domain, IEEE Transactions on Fuzzy Systems25(5): 1051–1061.10.1109/TFUZZ.2016.2593921]Search in Google Scholar
[Ding, B. (2009). Quadratic boundedness via dynamic output feedback for constrained nonlinear systems in Takagi–Sugeno’s form, Automatica45(9): 2093–2098.10.1016/j.automatica.2009.05.017]Search in Google Scholar
[Ding, B. (2013). New formulation of dynamic output feedback robust model predictive control with guaranteed quadratic boundedness, Asian Journal of Control15(1): 302–309.10.1002/asjc.496]Search in Google Scholar
[Ding, B. and Pan, H. (2016). Output feedback robust MPC for LPV system with polytopic model parametric uncertainty and bounded disturbance, International Journal of Control89(8): 1554–1571.10.1080/00207179.2016.1138144]Search in Google Scholar
[Godbole, A.A., Kolhe, J.P. and Talole, S.E. (2013). Performance analysis of generalized extended state observer in tackling sinusoidal disturbances, IEEE Transactions on Control Systems Technology21(6): 2212–2223.10.1109/TCST.2012.2231512]Search in Google Scholar
[Grip, H.F., Saberi, A. and Johansen, T.A. (2012). Observers for interconnected nonlinear and linear systems, Automatica48(7): 1339–1346.10.1016/j.automatica.2012.04.008]Search in Google Scholar
[Hartman, D., Landis, K., Mehrer, M., Moreno, S. and Kim, J. (2014). Quadcopter dynamic modeling and simulation (Quad-Sim), https://github.com/dch33/Quad-Sim.]Search in Google Scholar
[Hassani, H., Zarei, J., Chadli, M. and Qiu, J. (2017). Unknown input observer design for interval type-2 T–S fuzzy systems with immeasurable premise variables, IEEE Transactions on Cybernetics47(9): 2639–2650.10.1109/TCYB.2016.260230028113389]Search in Google Scholar
[Johnson, C. (1971). Accommodation of external disturbances in linear regulator and servomechanism problems, IEEE Transactions on Automatic Control16(6): 635–644.10.1109/TAC.1971.1099830]Search in Google Scholar
[Kelly, J. and Sukhatme, G. S. (2011). Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration, The International Journal of Robotics Research30(1): 56–79.10.1177/0278364910382802]Search in Google Scholar
[Kim, K.-S., Rew, K.-H. and Kim, S. (2010). Disturbance observer for estimating higher order disturbances in time series expansion, IEEE Transactions on Automatic Control55(8): 1905–1911.10.1109/TAC.2010.2049522]Search in Google Scholar
[Koenig, D. (2005). Unknown input proportional multiple-integral observer design for linear descriptor systems: Application to state and fault estimation, IEEE Transactions on Automatic Control50(2): 212–217.10.1109/TAC.2004.841889]Search in Google Scholar
[Kwon, S. and Chung, W. K. (2003). A discrete-time design and analysis of perturbation observer for motion control applications, IEEE Transactions on Control Systems Technology11(3): 399–407.10.1109/TCST.2003.810398]Search in Google Scholar
[Li, S., Yang, J., Chen, W.-H. and Chen, X. (2012). Generalized extended state observer based control for systems with mismatched uncertainties, IEEE Transactions on Industrial Electronics59(12): 4792–4802.10.1109/TIE.2011.2182011]Search in Google Scholar
[Lynen, S., Achtelik, M. W., Weiss, S., Chli, M. and Siegwart, R. (2013). A robust and modular multi-sensor fusion approach applied to MAV navigation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, pp. 3923–3929.10.1109/IROS.2013.6696917]Search in Google Scholar
[Ping, X. (2017). Output feedback robust MPC based on off-line observer for LPV systems via quadratic boundedness, Asian Journal of Control19(4): 1641–1653.10.1002/asjc.1469]Search in Google Scholar
[Ping, X., Wang, P. and Li, Z. (2017). Quadratic boundedness of LPV systems via saturated dynamic output feedback controller, Optimal Control Applications and Methods38(6): 1239–1248.10.1002/oca.2328]Search in Google Scholar
[Miettinen, K. (1999). Nonlinear Multiobjective Optimization, International Series in Operations Research and Management Science, Vol. 12, Springer, New York, NY.10.1007/978-1-4615-5563-6]Search in Google Scholar
[Ros, L., Sabater, A. and Thomas, F. (2002). An ellipsoidal calculus based on propagation and fusion, IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics32(4): 430–442.10.1109/TSMCB.2002.1018763]Search in Google Scholar
[Rotondo, D., Witczak, M., Puig, V., Nejjari, F. and Pazera, M. (2016). Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems, International Journal of Systems Science47(14): 3409–3424.10.1080/00207721.2016.1165898]Search in Google Scholar
[Ruggiero, F., Cacace, J., Sadeghian, H. and Lippiello, V. (2014). Impedance control of VToL UAVs with a momentum-based external generalized forces estimator, IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 2093–2099.10.1109/ICRA.2014.6907146]Search in Google Scholar
[Ruggiero, F., Cacace, J., Sadeghian, H. and Lippiello, V. (2015). Passivity-based control of VToL UAVs with a momentum-based estimator of external wrench and unmodeled dynamics, Robotics and Autonomous Systems72: 139–151.10.1016/j.robot.2015.05.006]Search in Google Scholar
[Santamaria-Navarro, A., Sola, J. and Andrade-Cetto, J. (2015). High-frequency MAV state estimation using low-cost inertial and optical flow measurement units, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, pp. 1864–1871.10.1109/IROS.2015.7353621]Search in Google Scholar
[She, J.-H., Fang, M., Ohyama, Y., Hashimoto, H. and Wu, M. (2008). Improving disturbance-rejection performance based on an equivalent-input-disturbance approach, IEEE Transactions on Industrial Electronics55(1): 380–389.10.1109/TIE.2007.905976]Search in Google Scholar
[Su, J., Chen, W.-H. and Li, B. (2015). High order disturbance observer design for linear and nonlinear systems, IEEE International Conference on Information and Automation, Lijiang, China, pp. 1893–1898.10.1109/ICInfA.2015.7279597]Search in Google Scholar
[Wang, Z., Huang, B. and Unbehauen, H. (1999). Robust h∞ observer design of linear state delayed systems with parametric uncertainty: The discrete-time case, Automatica35(6): 1161–1167.10.1016/S0005-1098(99)00008-4]Search in Google Scholar
[Witczak, M., Buciakowski, M. and Aubrun, C. (2016). Predictive actuator fault-tolerant control under ellipsoidal bounding, International Journal of Adaptive Control and Signal Processing30(2): 375–392.10.1002/acs.2567]Search in Google Scholar
[Witczak, M., Rotondo, D., Puig, V., Nejjari, F. and Pazera, M. (2017). Fault estimation of wind turbines using combined adaptive and parameter estimation schemes, International Journal of Adaptive Control and Signal Processing32(4): 549–567.10.1002/acs.2792]Search in Google Scholar
[Yüksel, B., Secchi, C., Bülthoff, H.H. and Franchi, A. (2014). A nonlinear force observer for quadrotors and application to physical interactive tasks, IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Besacon, France, pp. 433–440.10.1109/AIM.2014.6878116]Search in Google Scholar
[Zeitz, M. (1987). The extended Luenberger observer for nonlinear systems, Systems & Control Letters9(2): 149–156.10.1016/0167-6911(87)90021-1]Search in Google Scholar
[Zhang, L., Liu, X. and Kong, X. (2012a). State estimators for uncertain linear systems with different disturbance/noise using quadratic boundedness, Journal of Applied Mathematics2012, Article ID: 101353.10.1155/2012/101353]Search in Google Scholar
[Zhang, W., Su, H., Wang, H. and Han, Z. (2012b). Full-order and reduced-order observers for one-sided Lipschitz nonlinear systems using Riccati equations, Communications in Nonlinear Science and Numerical Simulation17(12): 4968–4977.10.1016/j.cnsns.2012.05.027]Search in Google Scholar
[Zou, T. and Li, S. (2011). Stabilization via extended nonquadratic boundedness for constrained nonlinear systems in Takagi–Sugeno’s form, Journal of the Franklin Institute348(10): 2849–2862.10.1016/j.jfranklin.2011.09.007]Search in Google Scholar