✍ Scribed by Rodrigo Pasti; Leandro Nunes de Castro; Guilherme Palermo Coelho; Fernando José Von Zuben
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📜 SIMILAR VOLUMES
## Abstract The paper presents the application of nonlinear neural optimization networks to solve the linear complementarity problem. Two different approaches are presented and investigated: one leading to linear and the second to quadratic optimization programming. The numerical results of illustr
Conventional ship autopilots are based on proportional, integral and derivative (PID) algorithms, and are generally set to work under specific conditions. Changes in either the vessel's handling characteristics or environmental conditions means that the system is not working at its optimal point. Th
The unit vector s was chosen arbitrarily, and ˆ0 z f L. The precision was set to 1.0 = 10 y3 . For each L, the function T was evaluated at 2 L 2 observation points. This is L in accordance with the demands of MLFMA. The results are presented in Table 2. In the table, entries marked ''direct'' refer