Evaluation of Circular Pin Fed Linearly Polarized Patch Antenna Using Different Substrates
Mukkamalla Maruthi Prasada Reddy
Issue:
Volume 6, Issue 2, June 2018
Pages:
30-33
Received:
29 January 2018
Accepted:
16 February 2018
Published:
16 March 2018
Abstract: In this paper, a circular pin fed linearly polarized patch antenna is designed, which can be used in radio & Television, Wimax, GSM, Bluetooth, and WLAN communication systems. The main focus of this paper is to optimize the performance of micro strip patch antenna. In recent times, Wimax based communication applications are widely using circular pin fed linearly polarized patch antenna and it is very familiarized. The proposed antenna design uses 0.5 GHZ frequency band and it is working at narrowband within this band. RT/DUROID 606 material is used for creating the substrate of the micro strip antenna. This new design of the micro strip patch antenna gives high performance in terms of gain and gain bandwidth product.
Abstract: In this paper, a circular pin fed linearly polarized patch antenna is designed, which can be used in radio & Television, Wimax, GSM, Bluetooth, and WLAN communication systems. The main focus of this paper is to optimize the performance of micro strip patch antenna. In recent times, Wimax based communication applications are widely using circular pi...
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The Constituent Variables of Mind Share
Issue:
Volume 6, Issue 2, June 2018
Pages:
34-38
Received:
1 February 2018
Accepted:
16 February 2018
Published:
16 March 2018
Abstract: This paper extents the content of Mind share construction to explore antecedent of confidence and resistance and their relationships. The models of these two variables are proposed and which include customer’s information of direct experiment, experience of successful resisting competitor persuasion and the connection knowledge with target product or brand. The sequences process (interactions) between confidence and resistance are also discussed. Finally, the empirical data ofsharing economic are used to test the time-series regression. The conclusion of management application is made.
Abstract: This paper extents the content of Mind share construction to explore antecedent of confidence and resistance and their relationships. The models of these two variables are proposed and which include customer’s information of direct experiment, experience of successful resisting competitor persuasion and the connection knowledge with target product ...
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Gradient Algorithm in Subspace Predictive Control
Wang Xiao-ping,
Wang Jian-hong
Issue:
Volume 6, Issue 2, June 2018
Pages:
39-44
Received:
5 February 2018
Accepted:
20 July 2018
Published:
22 August 2018
Abstract: In this paper, subspace predictive control strategy is applied to design predictive controller. Given the state space model, the output estimations corresponding to the predictive output is derived to be one explicit function of the measured input-output data. Then using these output estimations, the problem of designing predictive controller is formulated as one optimization problem with equality and inequality conditions. In order to solve this constrain optimization problem, we use dual decomposition idea to change the original constrain optimization problem into an unconstrain optimization problem. So the classical gradient algorithm is put forth to solve the primal dual optimization problem. The problem of designing dual decomposition controller is studied for subspace predictive control strategy under fault condition. For state space equation with fault condition, we establish one function form between fault and residual using only input-output measured data sequence, and construct one least squares optimization problem to obtain fault estimation. The statistical property about residual is analyzed based on our derived output prediction, then the Kronecker product is used to derive the detailed structure corresponding to residual vector at every time instant. After substituting our output prediction into objective function of predictive control, one quadratic programming problem with equality and inequality constraints is considered. For solving this constrained optimization problem, fast gradient method is not suited for this complex optimization problem, as one regularization term is added in our objective function. So in order to solve this complex quadratic optimization problem, we propose a dual decomposition idea so that this dual decomposition idea can convert the former constrained optimization into unconstrained optimization, then one nearest neighbor gradient algorithm is given to solve its optimal value.
Abstract: In this paper, subspace predictive control strategy is applied to design predictive controller. Given the state space model, the output estimations corresponding to the predictive output is derived to be one explicit function of the measured input-output data. Then using these output estimations, the problem of designing predictive controller is fo...
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