코로나바이러스 감염증-19(COVID-19) 업데이트

COVID-19 발병과 관련한 우려가 높아짐에 따라, Mathworks는 정규 교육 과정의 선택적 대안으로 강사 주도형 온라인 교육 과정을 추가하고 있습니다.

일정 및 등록

수강자 필수조건

Background in powertrain calibration required; basic knowledge of MATLAB recommended.

Model Based Calibration

This hands-on, two-day course focuses on tools and techniques for using Design of Experiments, statistical modeling, and optimization to calibrate modern powertrain systems in MATLAB® and Simulink®. The course is designed for engineers who intend to calibrate and test engines, develop control algorithms, and simulate powertrain behavior. By the end of the course, attendees will be able to produce a set of optimal base calibration tables for a typical modern gasoline or diesel engine. Two subject variants, based on gasoline or diesel materials, are available. Topics include:

Working with Design of Experiments
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Setting up test plans
-Designing for constraints
-Applying classical, space-filling, and optimal methods

Data loading and handling
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Loading, visualizing, filtering, and augmenting measured data

Response surface modeling
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Creating one-stage and two-stage response-surface models using radial basis functions, polynomials, splines, and neural nets

Calibration generation
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Setting up optimization problems
-Reviewing, executing, filling, and exporting tables
-Applying application-specific, multiobjective, and drive-cycle optimization

See detailed course outline



MATLAB 및 Simulink 교육 일정과 등록

이 과정에 대해 현재 예정된 강좌가 없습니다.