MK Sistem Kendali Cerdas
MK Sistem Kendali Cerdas
Identitas
- Kode : TKE194941 Sistem Kendali Cerdas
- SKS : 3 SKS
- Jadwal:
- Kelas A : Ruang E-201, Jum’at 13.55, 3 mhs
- Metode: Case-based dan Project-based Learning
- Semester Mata Kuliah: 6
- Sifat Mata Kuliah: Teknik Elektro Pendalaman (TED)
Materi
- Pendahuluan
- Dasar-dasar Logika Fuzzy
- Sistem Inferensi Fuzzy
- Sistem Inferensi Fuzzy untuk Sistem Kendali
- Proyek Sistem Inferensi Fuzzy untuk Sistem Kendali
- Proyek Sistem Inferensi Fuzzy untuk Sistem Kendali
- Pendahuluan Neural Network
- Neural Network dalam Sistem Kendali
- Neural Network dalam Sistem Kendali
- Neural Network dalam Sistem Kendali
- Sistem Neuro-Fuzzy
- Sistem Neuro-Fuzzy untuk Sistem Kendali
- Proyek Sistem Neuro-Fuzzy untuk Sistem Kendali
- Proyek Sistem Neuro-Fuzzy untuk Sistem Kendali
Referensi Utama
- Liu Jinkun, Intelligent Control Design and MATLAB Simulation [website] [m-file download]
- Fuzzy and Neural Control by Babuska
- Intelligent Control - A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms - Nazmul Siddique - Springer
- Himanshu Singh & Yunis Ahmad Lone, Deep Neuro-Fuzzy Systems With Python: With Case Studies and Applications From the Industry [website][python download]
- Hung T. Nguyen & Nadipuram R. Prasad & Carol L. Walker & Elbert A. Walker, A First Course in Fuzzy and Neural Control [website]
Referensi Tambahan
- Roland S Burns, Advanced Control Engineering (Chapter 10) [website]
- Ali Zilouchian & Mo Jamshidi, Intelligent Control Systems Using Soft Computing Methodologies, [website][ebook download]
- Adrian A. Hopgood, Intelligent Systems for Engineers and Scientists, websites
- Adedeji Bodunde Badiru, Fuzzy Engineering Expert Systems With Neural Network Applications
- Ahmad M. Ibrahim, Fuzzy Logic for Embedded Systems Applications [website]
- Erdal Kayacan & Mojtaba Ahmadieh, Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning [website]
- James M. Keller & Derong Liu & David B Fogel, Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation [website]
- Steven L Brunton & J Nathan Kutz, Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control [website][ebook download][MATLAB Codeand Data][Python Codeand Data]
- Intelligent Control: Fuzzy Logic Applications - 1st Edition - Clarence
- Fuzzy Logic in Control - René Jager - Google Books
Software Links
- GNU Octave
- Octave Online
- MATLAB and Simulink
- Anaconda
- Google Colab
- Fuzzylite : The FuzzyLite Libraries for Fuzzy Logic Control
Video Links
- Neural Network - Online Course - MATLAB Helper - YouTube
- Artificial Intelligence Tutorial - YouTube
- Data-Driven Control with Machine Learning - YouTube
E-learning Link
Neuro-fuzzy in Python
Libraries
- numpy
conda install -c conda-forge numpy
,pip install numpy
- scipy
conda install -c conda-forge scipy
,pip install scipy
- scikit fuzzy
conda install -c conda-forge scikit-fuzzy
,pip install scikit-fuzzy
- scikit learn
conda install -c conda-forge scikit-learn
,pip install scikit-learn
- fuzzylite
pip install pyfuzzylite
- pandas
conda install -c conda-forge pandas
,pip install pandas
- statsmodels
conda install -c conda-forge statsmodels
,pip install statsmodels
- keras
conda install -c conda-forge keras
,pip install keras
- anfis
pip install anfis
- bokeh
conda install -c conda-forge bokeh
,pip install bokeh
- fuzzycmeans
pip install fuzzycmeans
Downgrade Python for installing keras and tensorflow
python --version
conda search python
: check installed version of pythonconda install python=3.6.0
: downgrade to your preferred python
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Last modified March 6, 2023: update (7eba5da)