References
- M.W. Spong. An historical perspective on the control of robotic manipulators. Annual Reviews of Control, Robotics, and Autonomous Systems, 5:1–31, 2022.
- M.F. Khan, R. Islam, and J. Iqbal. Control strategies for robotic manipulators. In Proceedings of the 2012 International Conference of Robotics and Artificial Intelligence, Rawalpindi, Pakistan, 2012.
- F.L. Lewis, D.M. Dawson, and C.T. Abdallah. Robot Manipulator Control Theory and Practice. CRC Press, Boca Raton, 2003.
- R. Kelly, V. Santibáñez, and A. Loría. Control of Robot Manipulators in Joint Space. Springer, London, 2005.
- E.F. Camacho and C. Bordons. Model Predictive Control. Springer Verlag, London, 1999.
- J.M. Maciejowski. Predictive Control. Prentice Hall, Harlow, England, 2002.
- T. L. Blevins, G. K. McMillan, W. K. Wojsznis, and M. W. Brown. Advanced Control Unleashed. The ISA Society, Research Triangle Park, NC, 2003.
- S.J. Qin and T.A. Badgwell. A survey of industrial model predictive control technology. Control Engineering Practice, 11:733–764, 2003.
- P. Tatjewski. Advanced Control of Industrial Processes. Springer Verlag, London, 2007.
- L. Wang. Model Predictive Control System Design and Implementation using MATLAB. Springer Verlag, London, 2009.
- K.J. Holkar and L.M. Waghmare. An overview of model predictive control. International Journal of Control and Automation, 3(4):47–63, 2010.
- T. L. Blevins, W. K. Wojsznis, and M. Nixon. Advanced Control Foundation. The ISA Society, Research Triangle Park, NC, 2013.
- J.B. Rawlings, D.Q. Mayne, and M.M. Diehl. Model Predictive Control: Theory, Computation, and Design 2nd Edition. Nob Hill Publishing, Santa Barbara, California, 2017.
- I.L. Huang, H.H. Lou, J.P. Gong, and T.F. Edgar. Fuzzy model predictive control. IEEE Transactions on Fuzzy Systems, 8(6):665–678, 2000.
- M. Ławryńczuk. Computationally Efficient Model Predictive Control Algorithms: A Neural Network Approach. Studies in Systems, Decision and Control, Vol. 3. Springer Verlag, Heidelberg, 2014.
- M.M. Morato, J.E. Normey-Rico, and O. Sename. Model predictive control design for linear parameter varying systems: A survey. Annual Reviews in Control, 49:64–80, 2020.
- M. Ławryńczuk and P. Tatjewski. Offset-free state-space nonlinear predictive control for Wiener systems. Information Sciences, 511:127–151, 2020.
- T. Rybus, K. Seweryn, and J.Z. Sasiadek. Application of predictive control for manipulator mounted on a satellite. Archives of Control Sciences, 28(1):105–118, 2018.
- S. Kleff, A. Meduri, R. Budhiraja, N. Mansard, and L. Righetti. High-frequency nonlinear model predictive control of a manipulator. In Proceedings of the IEEE International Conference on Robotics and Automation, Xi’an, China, 2021.
- P. Bumroongsri and S. Kheawhom. Interpolation-based off-line MPC for LPV systems. In Proceedings of the 10th IFAC International Symposium on Dynamics and Control of Process Systems, Mumbai, India, 2013.
- P.S.G. Cisneros, A.Sridharan, and H. Werner. Constrained predictive control of a robotic manipulator using quasi-LPV representations. IFAC Papers Online Conference Paper Archive, 51(26):118–123, 2018.
- J. Wilson, M. Charest, and R. Dubay. Non-linear model predictive control schemes with application on a 2 link vertical robot manipulator. Robotics and Computer-Integrated Manufacturing, 41:23–30, 2016.
- A. Benniran. Predictive optimizing reference governor for constrained 2 dof’s robot with abrupt set-point trajectories. Journal of Applied Science, Sabratha University, 1:39–49, 2018.
- A. Ferrara, G.P. Incremona, and L. Magni. A robust MPC/ISM hierarchical multi-loop control scheme for robot manipulators. In Proceedings of the 52nd Conference on Decision and Control, Florence, Italy, 2013.
- G.P. Incremona, A. Ferrara, and L. Magni. MPC for robot manipulators with integral sliding modes generation. IEEE/ASME Transactions on Mechatronics, 22(3):1299–1307, 2017.
- S. Bouzoualegh, E. Guechi, and Y. Zennir. Model predictive control of a three degrees of freedom manipulator robot. In Proceedings of the 3rd International Conference on Advanced Systems and Emergent Technologies, pages 84–89, Hammamet, Tunisia, 2019.
- D. Nicolis, F. Allevi, and P. Rocco. Operational space model predictive sliding mode control for redundant manipulators. IEEE Transactions on Robotics, 36(4):1348–1355, 2020.
- P. Tatjewski. Disturbance modeling and state estimation for offset-free predictive control with state-spaced process models. International Journal of Applied Mathematics and Computer Science, 24(2):313–323, 2014.
- P. Tatjewski. Offset-free nonlinear predictive control with measured state and unknown asymptotically constant disturbances. In K. Malinowski, J. Józefczyk, and J. Światek, editors, Aktualne problemy automatyki i robotyki, pages 288–299. Academic Publisher EXIT, Warszawa, Poland, 2014.
- P. Tatjewski. Offset-free nonlinear Model Predictive Control with state-space process models. Archives of Control Sciences, 27(4):595–615, 2017.
- P. Tatjewski and M. Ławryńczuk. Algorithms with state estimation in linear and nonlinear model predictive control. Computers and Chemical Engineering, 143:1–19, 2000.
- P. Tatjewski. Nieliniowe sterowanie predykcyjne ramion manipulatorów (Nonlinear predictive control of manipulator arms). Pomiary Automatyka Robotyka, 27(2):47–58, 2023.
- L. Garcia and E. Rosero. Non-linear model-based predictive control for trajectory tracking and control effort minimization in a smartphone-based quadrotor. Journal of Automation, Mobile Robotics and Intelligent Systems, 16(4):13–18, 2022.
- P. Tatjewski. Sterowanie zaawansowane procesów przemysłowych (Advanced Control of Industrial Processes), Second, revised edition (e-book, in Polish). Academic Publishing House EXIT, Warszawa, 2016.
- F. Reyes and R. Kelly. Experimental evaluation of identification schemes on a direct drive robot. Robotica, 15:563–571, 1997.
- M. Spong, S. Hutchinson, and M. Vidyasagar. Robot Modeling and Control. J. Wiley and Sons, 2005.
- A. Bożek and L. Trybus. Tuning PID and PIPI servo controllers by multiple pole placement. Bulletin of the Polish Academy of Sciences Technical Sciences, 70(1):1–12, 2022.
