بی تردید مطالعه در مورد هدایت موشکهای آشیانه یاب تاکتیکی بدون در نظر گرفتن ناوبری تناسبی کاری بس دشوار است.و محققین همواره برای تکامل و رفع ضعف های این قوانین هدایتی و انواع استراتژیهای آن کوشیده اند، تا از اختلالات موجود در روی سیستم کنترلی موشک جلوگیری شود.در این مقاله نیز به انواع استراتژیهای بهبود یافته قانون هدایت ناوبری تناسبی حقیقی سنتی پرداخته شده و معادلات آنها شرح داده شده است.و سپس با استفاده از رسم نمودار و مقایسه معادلات آنها استراتژی برتر در حالتهای مختلف معرفی می شود . Manuscript profile

Closed-loop identification of multi-rate system with unknown parameters, that including prevalent non-uniform sampling data, is considered. The purpose is to identify a multi-rate closed loop model to approximate the parameters varying system. As far as the research has been done, the identification of multi-rate closed loop model with unknown parameters by using the expectation-maximization algorithm has not been done. To address this challenge, the two-stage method and expectation-maximization algorithm are applied in this paper to identify unknown parameters of system. In this case, by introducing the hidden variable, an EM is utilized to estimate the unknown model parameters. And also, it will be demonstrated that, to estimate of system parameters, Instead of the point estimate of the time variable, the full probability distribution of the time variable estimate is required. The performance of this procedure represents by simulation, and obtain consequences affirm that method has high precision and also has a high convergence speed. These simulations express that the performance of this algorithm is good, as the identified parameters accede the true parameters after several iterations. The Monte Carlo simulation with different noise realizations at SNR=26dB and SNR=46 dB are performed for showing the effectiveness of mentioned algorithm. Manuscript profile

In this paper, a Fractional Adaptive Fuzzy Controller is designed for controlling blood glucose levels in Type-I diabetic patients. Type 1 diabetes is a chronic disease. In people with type 1 diabetes, the pancreatic cells that make insulin are destroyed, and the body is unable to make insulin. Unlike previous works, the system dynamics is considered as undetermined and in the presence of noise. System dynamics is estimated using the type-2 fuzzy system to eliminate the estimation error through compensation. The adaptive rules for control signal parameters and fuzzy system parameters are determined using Lyapunov stability analysis. A modified Bergman model for a diabetic patient with different conditions is used for evaluating the performance of the proposed controller. Also in addition to the uncertainty of glucose-insulin dynamic, the effect of patient activity and disturbance in terms of lifestyle and type of food consumed is considered, The simulation results show that the proposed controller has very well performance. Manuscript profile

Demand for electricity generation is increasing day by day, and power stations must be able to meet these demands. There are several ways to generate power, such as thermal power plants. There are many variables in a thermal power plant boiler unit (steam unit), but the boiler drum level is one of the most important variables that has a very complex dynamics and it is necessary that the control system can keep it in a safe range. In this paper, two time-varying transfer functions are considered for the drum level (output) to water and steam (inputs). In the presence of parametric uncertainties in the model, the three controllers, Sliding Mode Controller (SMC), Model Reference Adaptive Control (MRAC) and PID Controller are compared to track the desired level of the drum-boiler to different inputs. The results show that the SMC has relatively better tracking results, but the control signal in MRAC is more optimal than the other two controllers and is more suitable for practical applications. Manuscript profile