@Article{iasc.2022.017801, AUTHOR = {Amr M. S. Mahdy, Mohamed S. Mohamed, Ahoud Y. Al Amiri, Khaled A. Gepreel}, TITLE = {Optimal Control and Spectral Collocation Method for Solving Smoking Models}, JOURNAL = {Intelligent Automation \& Soft Computing}, VOLUME = {31}, YEAR = {2022}, NUMBER = {2}, PAGES = {899--915}, URL = {http://www.techscience.com/iasc/v31n2/44516}, ISSN = {2326-005X}, ABSTRACT = {In this manuscript, we solve the ordinary model of nonlinear smoking mathematically by using the second kind of shifted Chebyshev polynomials. The stability of the equilibrium point is calculated. The schematic of the model illustrates our proposition. We discuss the optimal control of this model, and formularize the optimal control smoking work through the necessary optimality cases. A numerical technique for the simulation of the control problem is adopted. Moreover, a numerical method is presented, and its stability analysis discussed. Numerical simulation then demonstrates our idea. Optimal control for the model is further discussed by clarifying the optimal control through drawing before and after control. Fractional request differential equations (FDEs) are usually used to display frameworks that have memory and exist in a few thermoelasticity models and organic standards. FDEs show the realistic biphasic decline of infection of diseases but at a slower rate. FDEs are more suitable than integer order ones in modeling complex systems, such as biological systems.}, DOI = {10.32604/iasc.2022.017801} }