The construction of applications for sophisticated Scientific and engineering disciplines is Often time consuming and costly. However, applications ranging from finite element analysis to numerical control to robotics...
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Adaptive methodologies and business delegate pattern have garnered improbable interest from both security experts and analysts in the last several years. In this position paper, we verify the development of business d...
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Conventional modelling, state estimation, multi-step ahead prediction, and control of bioprocesses are often difficult owing to the uncertainties involved. Backpropagation multi-layer neural network models and fuzzy k...
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ISBN:
(纸本)0080417108
Conventional modelling, state estimation, multi-step ahead prediction, and control of bioprocesses are often difficult owing to the uncertainties involved. Backpropagation multi-layer neural network models and fuzzy knowledge-based systems were constructed to overcome such problems. Neural networks were programmed in QuickC and implemented in a personal computer with an 80486/33 MHz processor. Object oriented programming in a Smalltalk/V environment was employed for the rule-based fuzzy expert systems. Results of multi-step ahead prediction both of the enzyme activity and biomass in a fed-batch glucoamylase fermentation, and of the adaptive estimation of substrate feed rate and biomass in a fed-batch baker's yeast fermentation were presented as examples. The potential of neural networks in the context of process control and hybrid systems was discussed.
This paper describes the use and benefits of the test-driven development paradigm in parallel application development. A brief background on test-driven development for traditional applications, techniques for paralle...
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ISBN:
(纸本)9781509048793
This paper describes the use and benefits of the test-driven development paradigm in parallel application development. A brief background on test-driven development for traditional applications, techniques for parallel development, and the xUnit framework is given. This work then gives direction for using the given technologies for the development of parallel applications using the test-driven development process by mapping the functions of a parallel language to the functions of the testing framework as illustrated by a programming assignment given to college sophomores.
This paper investigates an upstanding nonlinear controller for controlling a single-degree-of-freedom shape memory alloy (SMA) actuated manipulator and proposes a novel nonlinear PID (NPID) controller suitable for rea...
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ISBN:
(纸本)9781424424252
This paper investigates an upstanding nonlinear controller for controlling a single-degree-of-freedom shape memory alloy (SMA) actuated manipulator and proposes a novel nonlinear PID (NPID) controller suitable for real time manipulator control applications. The salient features of this controller are that it has significant effects in reducing overshoot and settling time of position tracking system. A series of experiments have been performed in tracking both stationary and periodically varied reference signals. Experimental results are presented to show the effectiveness of the proposed controller in real time applications. A linear PID and a nonlinear PID-P-3 controller are also applied to the system to compare the performance.
The presented work is an extensive study of the existing non-linear programming (NLP) methods in an uncertain environment of an interval-valued intuitionistic fuzzy soft set (IVIFSS) for solving multi-attribute decisi...
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This paper presents a new approach for robust open-loop and closed-loop control of nonlinear processes with parameter uncertainties and a comparison with classical concepts. The approach leads to trajectories that sho...
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ISBN:
(纸本)9780780397958
This paper presents a new approach for robust open-loop and closed-loop control of nonlinear processes with parameter uncertainties and a comparison with classical concepts. The approach leads to trajectories that show small variations if uncertain parameters and uncertain initial conditions are present. The algorithm utilizes the Unscented Transformation. It allows a 2nd order approximation of the first two statistical moments of the system's output as a function of the stochastic system's state and uncertain model parameters. Because the numerical burden is low, it can be used for optimization based online closed-loop process control as well.
In a large number of applications, engineers have to estimate values of an unknown function given some observed samples. This task is referred to as function approximation or as generalization. One way to solve the pr...
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Mobile phones play an important role in learning and teaching because they provide an environment for active learning and social interactions anytime and anywhere. With today's mobile phones, we can do many of the...
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ISBN:
(纸本)9781936338184
Mobile phones play an important role in learning and teaching because they provide an environment for active learning and social interactions anytime and anywhere. With today's mobile phones, we can do many of the tasks we can do with our PCs. They allow students to utilize videos, visualizations, interactive instructional materials, online homework, games, discussion groups/boards, demonstration projects, and many free applications, such as Smart Algebra, Space Time, etc. This paper describes how these tasks can be accomplished.
A direct method for creating a neural network to approximate an optimal feedback controller is presented in this paper. The method is direct in the sense that the weight adaptation is tied directly to the solution of ...
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ISBN:
(纸本)0780348605
A direct method for creating a neural network to approximate an optimal feedback controller is presented in this paper. The method is direct in the sense that the weight adaptation is tied directly to the solution of the optimal control problem. To achieve this goal, the optimal control problem is first converted into a parameter optimization problem with the weights and biases of the network being the adaptable parameters. Any state and/or control limitations are turned into the appropriate equality or inequality constraints. Then a nonlinearprogramming algorithm is used to solve the resulting constrained minimization problem. The method is demonstrated by solving three example optimal control problems of varying complexity. The conclusion section discusses recommendations for future improvements.
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