Track-seeking for a magnetic hard drive is a time optimal control problem where the objective is to move the R/W head from the current track to a specified destination track in minimum time using a bounded control eff...
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Track-seeking for a magnetic hard drive is a time optimal control problem where the objective is to move the R/W head from the current track to a specified destination track in minimum time using a bounded control effort. One difficulty is due to the nonlinear saturation and hysterisis behavior of the voice coil actuator. Therefore a dual fuzzy logic controller (FLC) for track seeking and track following is designed and implemented. The controller uses position and velocity to decide on the commanded electrical current. Once the reading head gets within a small distance of the target track, a linear pole placement design is implemented. We compare the performance of this controller with a time-suboptimal design obtained for the linearized version of the dynamics.
In this paper, the design of explicit rate-based congestion control in high speed communication networks is considered. At a bottleneck node, there are multiple best-effort sources competing with other high priority c...
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The application of a novel fuzzy-Neural architecture to diagnose faults in critical cases of a CNC X-axis drive system is described. The proposed architecture utilizes the concepts of fuzzy clustering, fuzzy decision ...
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ISBN:
(纸本)0780374614
The application of a novel fuzzy-Neural architecture to diagnose faults in critical cases of a CNC X-axis drive system is described. The proposed architecture utilizes the concepts of fuzzy clustering, fuzzy decision making and RBF neural networks to create a suitable model based Fault Detection and Isolation (FDI) structure. In the present application, it is emphasized the faults just due to the nonlinear components and the components that have more significant effect on overall accuracy of the drive system. On 100 tests on the system, Le. the appropriate model, the diagnostic system allocated the fault location and fault size 100 percent correctly.
Actuator failures with unknown failure time, pattern, and parameters, can cause serious performance degradation and possibly instability in aircraft flight control systems. Such failures can occur at unknown instants ...
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The design and development of a Local Area Network consisting of instruments and sensors for the emulation of a space-based system is presented. The instrument LAN and associated hardware and software can be used to e...
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An adaptive control scheme to achieve stability and output tracking is presented for the output-feedback nonlinear plant with unknown actuator failures. A state observer is designed for estimating the unavailable plan...
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A new approach to two-player zero-sum differential games with convex-concave cost function is presented. It employs the tools of convex and variational analysis. A necessary and sufficient condition on controls to be ...
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A new approach to two-player zero-sum differential games with convex-concave cost function is presented. It employs the tools of convex and variational analysis. A necessary and sufficient condition on controls to be an open-loop saddle point of the game is given. Explicit formulas for saddle controls are derived in terms of the subdifferential of the function conjugate to the cost. Existence of saddle controls is concluded under very general assumptions, not requiring the compactness of control sets. A Hamiltonian inclusion, new to the field of differential games, is shown to describe equilibrium trajectories of the game.
When representatives of high-technology corporations come to US University campuses to recruit science and engineering graduates, they will be hard pressed to find many ethnic minorities, women or people with disabili...
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When representatives of high-technology corporations come to US University campuses to recruit science and engineering graduates, they will be hard pressed to find many ethnic minorities, women or people with disabilities. Is anybody surprised on this? The problem is a deep-rooted one indeed. Science, Mathematics and engineering education is among some of the shrinking majors for USA's graduating high school seniors. The problem is consistently and uniformly spread over the whole population of the United States (including the majority white population), and is even more pronounced among minority population. Some of our major corporations with a dominant role in the international market place are losing grounds to European and Asian competitors, in part, due to lack of vision to ensure for future supply of competent high-tech work force. Here by minority we mean African American, Native American (American Indians), Hispanic American, Alaskans and Pacific Islanders.
We designed a feedforward control law that greatly decreases the load sway of a shipboard crane due to ship rolling. This feedforward control uses measurements of ship rolling angle at each instant. At different opera...
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We designed a feedforward control law that greatly decreases the load sway of a shipboard crane due to ship rolling. This feedforward control uses measurements of ship rolling angle at each instant. At different operating points the optimal feedforward gain changes while is numerically computable. Here, we propose to use a genetic algorithm (GA) based approach to optimize the mapping of feedforward gain in four dimensional space. The process is based on the numerical calculation of the optimal feedforward gain for any rolling angle (/spl rho/), length of the rope (L), and luffing angle (/spl delta//sub 0/). The optimal gain is calculated for a group of points in the working space and then fit a function of order n to these points in a four dimensional space. Our choice for this problem includes real value GA with a combination of different crossover methods. The cost function is the sum of squared errors at selected points and we aim to minimize it. Since moving the load to another location also changes the optimal gain, the new improved gain scheduling further reduces the swinging within the whole working space. GA is a directed search method and is capable of searching for variables of functions with any desired structure. The major advantages of using GA for function mappings is that the function does not have to be linear or in any specific form.
An adaptive control scheme to achieve stability and output tracking is presented for the output-feedback nonlinear plant with unknown actuator failures. A state observer is designed for estimating the unavailable plan...
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An adaptive control scheme to achieve stability and output tracking is presented for the output-feedback nonlinear plant with unknown actuator failures. A state observer is designed for estimating the unavailable plant states, based on a chosen control strategy, in the presence of actuator failures with unknown failure values, time instants and pattern. An adaptive controller is developed by employing the backstepping technique, for which parameter update laws are derived to ensure asymptotic output tracking and signal boundedness of the closed-loop system, as shown by detailed stability analysis.
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