Iterative learning control (ILC) is used to control systems that operate in a repetitive mode, improving track-ing accuracy of the control by transferring data from one repetition of a task, to the next. In this paper...Iterative learning control (ILC) is used to control systems that operate in a repetitive mode, improving track-ing accuracy of the control by transferring data from one repetition of a task, to the next. In this paper an op-timal iterative learning algorithm for discrete linear systems is analyzed and a solution for its attainment is proposed. Finally the mathematical proof of the algorithm’s causal formulation is also provided in its com-plete form, since its implementation requires its causal formulation.展开更多
In this paper, we propose an effective gray image cryptosystem containing Arnold cat map for pixel permutation and an improved Logistic map for the generation of encryption keys to be used for pixel modification. Firs...In this paper, we propose an effective gray image cryptosystem containing Arnold cat map for pixel permutation and an improved Logistic map for the generation of encryption keys to be used for pixel modification. Firstly, a new chaotic map is designed to show better performance than the standard one in terms of key space range, complexity and uniformity. Generated secret key is not only sensitive to the control parameters and initial condition of the improved map but also strongly depend on the plain image characteristic which provides an effective resistance against statistical and differential attacks. Additionally, to get higher encryption strength of the cryptosystem, both confusion and diffusion processes are performed with different keys in every iterations. Theoretical analysis and simulation results confirm that the proposed algorithm has superior security and effectively encrypts and decrypts the gray images as well.展开更多
文摘Iterative learning control (ILC) is used to control systems that operate in a repetitive mode, improving track-ing accuracy of the control by transferring data from one repetition of a task, to the next. In this paper an op-timal iterative learning algorithm for discrete linear systems is analyzed and a solution for its attainment is proposed. Finally the mathematical proof of the algorithm’s causal formulation is also provided in its com-plete form, since its implementation requires its causal formulation.
文摘In this paper, we propose an effective gray image cryptosystem containing Arnold cat map for pixel permutation and an improved Logistic map for the generation of encryption keys to be used for pixel modification. Firstly, a new chaotic map is designed to show better performance than the standard one in terms of key space range, complexity and uniformity. Generated secret key is not only sensitive to the control parameters and initial condition of the improved map but also strongly depend on the plain image characteristic which provides an effective resistance against statistical and differential attacks. Additionally, to get higher encryption strength of the cryptosystem, both confusion and diffusion processes are performed with different keys in every iterations. Theoretical analysis and simulation results confirm that the proposed algorithm has superior security and effectively encrypts and decrypts the gray images as well.
