Download e-book for kindle: Designing with Computational Intelligence by Nadia Nedjah, Heitor Silvério Lopes, Luiza de Macedo

By Nadia Nedjah, Heitor Silvério Lopes, Luiza de Macedo Mourelle

ISBN-10: 3319447343

ISBN-13: 9783319447346

ISBN-10: 3319447351

ISBN-13: 9783319447353

This e-book discusses a few real-world functions of computational intelligence techniques. utilizing numerous examples, it demonstrates that computational intelligence has turn into a consolidated technique for instantly developing new aggressive ideas to complicated real-world difficulties. It additionally offers a concise and effective synthesis of alternative platforms utilizing computationally clever techniques.

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Koslosky et al. Fig. 17 The pitch stabilization fuzzy controller Fig. 18 Input linguistic variables and their membership functions for: Pitch angle, Euler approximation error of Y-axis angle Fig. 2 Control rules for pitch stabilization Roll angle NFAR NNEAR NCLOSE AccelY NFAST NSLOW ZERO PSLOW PFAST PMAX PMAX PMAX PMAX PMAX PMIN PMIN PMID PMID PMID ZERO ZERO PMIN PMIN PMIN 17 ZERO PCLOSE PNEAR PFAR PMIN ZERO ZERO ZERO NMIN NMIN NMIN NMIN ZERO ZERO NMID NMID NMID NMIN NMIN NMAX NMAX NMAX NMAX NMAX Fig.

In these charts, at moments close to 300, 800, 1600 and 2500 s, the present variation seems to indicate a poor stability. However, at each time instant, a new target position is sent to the hexacopter, disturbing the system. Therefore, the controllers must act to control the hexacopter stability. 08 representing 8 % variation within 150 s, which is considered acceptable for a stable 30 E. Koslosky et al. Fig. 43 Pitch stabilization—output flight of a hexacopter carrying a free payload. A video of the simulation shows the hexacopter flying stable, as well as it shows the hexacopter recovering from these disturbances.

In the third image of the sequence shown in Fig. 8 it is possible to appreciate this mismatch on the correlation of the features used by the optical flow algorithm, which are drawn in blue. This sequence corresponds to the pose estimation shown in Fig. 7d. 2 Pose Estimation in Simulated Quadcopter The evaluation of the proposed visual pose estimation approach is performed with synthetic images obtained from a simulated quadrotor. In order to generate a six 2 Monocular Pose Estimation for an Unmanned … (a) (b) (c) (d) 47 Fig.

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Designing with Computational Intelligence by Nadia Nedjah, Heitor Silvério Lopes, Luiza de Macedo Mourelle


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