[
Anderson B.D., Moore J.B., Optimal control: linear quadratic methods, Courier Corporation, 2007.
]Search in Google Scholar
[
Antsaklis P.J., Michel A.N., State feedback and state observers, Linear Systems, pp. 321–382, 2006.
]Search in Google Scholar
[
Athans M., Falb P.L., Optimal control: an introduction to the theory and its applications, Courier Corporation, 2013.
]Search in Google Scholar
[
Bao-Cang D., Modern predictive control, CRC press, 2010.
]Search in Google Scholar
[
Bhalode P., Ierapetritou M., Discrete element modeling for continuous powder feeding operation: Calibration and system analysis, International Journal of Pharmaceutics, 585:119427, 2020.
]Search in Google Scholar
[
Bhowmik D., Duraivel S., AN R., Kumar K.S., Tablet manufacturing process and defects of tablets, Elixir Pharmacy, 70:24368-74, 2014.
]Search in Google Scholar
[
Caylar P.L., Noterdaeme O., Naik K., Digital in industry: From buzzword to value creation, Mckinsey Company, Digit. Mckinsey 2, no. 1, 2016.
]Search in Google Scholar
[
Chindruș A., Copoț D., Căruntu C.F., Continuous Manufacturing using Linear Quadratic Regulator in the Context of Cyber-Physical Systems, 26th International Conference on System Theory, Control and Computing, pp. 231-236, IEEE, 2022.
]Search in Google Scholar
[
Chindruș A., Copoț D., Căruntu C.F., Predictive control strategy for Continuous Production Systems: A comparative study with classical control approaches using simulation-based analysis, Processes, 11(4), 1258, 2023.
]Search in Google Scholar
[
Copoț D., Căruntu C.F., Portier C., De Keyser R., Ionescu C.M., An open source benchmark simulator for sustainable and flexible pharmaceutical manufacturing, 28th International Conference on Emerging Technologies and Factory Automation, Sinaia, Romania, 2023.
]Search in Google Scholar
[
Deka L., Khan S.M., Chowdhury M., Ayres N., Transportation Cyber-Physical System and its importance for future mobility, Elsevier, Pages 1-20, 2018.
]Search in Google Scholar
[
Dey N., Ashour A.S., Shi F., Fong S.J., Tavares J.M.R.S., Medical cyber-physical systems: A survey, J Med Syst 42, 74, 2018.
]Search in Google Scholar
[
Di Cairano S., An industry perspective on MPC in large volumes applications: Potential Benefits and Open Challenges, IFAC Proceedings Volumes, 45(17):52-9, 2012.
]Search in Google Scholar
[
Do Q., Martini B., Choo K.-K.R., Cyber-physical systems information gathering: A smart home case study, Computer Networks, Volume 138, Pages 1-12, 2018.
]Search in Google Scholar
[
Escotet Espinoza M., Phenomenological and residence time distribution models for unit operations in a continuous pharmaceutical manufacturing process, Ph.D. dissertation, Rutgers University-School of Graduate Studies, 2018.
]Search in Google Scholar
[
Gatsis K., Ribeiro A., Pappas G.J., Optimal Power Management in Wireless Control Systems, in IEEE Transactions on Automatic Control, vol. 59, no. 6, pp. 1495-1510, 2014.
]Search in Google Scholar
[
Haas N.T., Ierapetritou M., Singh R., Advanced model predictive feedforward/feedback control of a tablet press, Journal of Pharmaceutical Innovation, vol. 12, no. 2, pp. 110–123, 2017.
]Search in Google Scholar
[
Haunreiter K. J., 200th anniversary of the paper machine, Tappi journal 80(10), p.89, 1997.
]Search in Google Scholar
[
Jazdi N., Cyber physical systems in the context of Industry 4.0, IEEE international conference on automation, quality and testing, robotics, pp. 1-4, IEEE, 2014.
]Search in Google Scholar
[
Jelsch M., Roggo Y., Kleinebudde P., Krumme M., Model predictive control in pharmaceutical continuous manufacturing: A review from a user’s perspective, European Journal of Pharmaceutics and Biopharmaceutics, vol. 159, pp. 137–142, 2021.
]Search in Google Scholar
[
Jha A.V., Appasani B., Ghazali A.N., Pattanayak P., Gurjar D.S., Kabalci E., Mohanta D.K., Smart grid cyber-physical systems: communication technologies, standards and challenges, Wireless Netw 27, 2595–2613, 2021.
]Search in Google Scholar
[
Johanson J.R., A Rolling Theory for Granular Solids, Journal of Applied Mechanics, vol. 32, no. 4, pp. 842–848, 12, 1965.
]Search in Google Scholar
[
Lee S.L., O’Connor T.F., Yang X., Cruz C.N., Chatterjee S., Madurawe R.D., Moore C., Yu L.X., Woodcock J., Modernizing pharmaceutical manufacturing: from batch to continuous production, Journal of Pharmaceutical Innovation, 10(3):191-9, 2015.
]Search in Google Scholar
[
Malevez D., Copot D., From batch to continuous tablet manufacturing: A control perspective, IFAC-PapersOnLine, 54(15):562-7, 2021.
]Search in Google Scholar
[
Rawlings J., Mayne D., Diehl M., Model Predictive Control: Theory, Computation, and Design 2nd Edition, Nob Hill Publishing, 2017.
]Search in Google Scholar
[
Rogers A.J., Hashemi A., Ierapetritou M.G., Modeling of particulate processes for the continuous manufacture of solid-based pharmaceutical dosage forms, Processes, 1(2):67-127, 2013.
]Search in Google Scholar
[
Sam Y.M., Ghani M.R., Ahmad N., LQR controller for active car suspension, TENCON Proceedings, Intelligent Systems and Technologies for the New Millennium (Cat. No. 00CH37119), Vol. 1, pp. 441-444, IEEE, 2000.
]Search in Google Scholar
[
Sen M., Singh R., Vanarase A., John J., Ramachandran R., Multi-dimensional population balance modeling and experimental validation of continuous powder mixing processes, Chemical engineering science, 80:349-60, 2012.
]Search in Google Scholar
[
Singh R., Ierapetritou M., Ramachandran R., An engineering study on the enhanced control and operation of continuous manufacturing of pharmaceutical tablets via roller compaction, International journal of pharmaceutics, 438(1-2):307-26, 2012.
]Search in Google Scholar
[
Tao F., Cheng J., Qi Q., An Industrial Internet-of-Things Hub Toward Smart Manufacturing Based on Cyber-Physical System, in IEEE Transactions on Industrial Informatics, vol. 14, no. 5, pp. 2271-2280, 2018.
]Search in Google Scholar
[
Vazquez S., Leon J.I., Franquelo L.G., Rodriguez J., Young H.A., Marquez A., Zanchetta P., Model predictive control: A review of its applications in power electronics, IEEE industrial electronics magazine, 8(1):16-31, 2014.
]Search in Google Scholar
[
Wang L. Model predictive control system design and implementation using MATLAB, Springer Science & Business Media, 2009.
]Search in Google Scholar
[
Wang Z., Escotet-Espinoza M.S., Ierapetritou M., Process Analysis and optimization of continuous pharmaceutical manufacturing using flowsheet models, Computers and Chemical Engineering 107, 77–91, 2017.
]Search in Google Scholar
[
Yu Y., Theoretical modelling and experimental investigation of the performance of screw feeders, Ph.D. dissertation, University of Wollongong, 1997.
]Search in Google Scholar
