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"This book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers."

"The volume includes a set of selected papers extended and revised from the International conference on informatics, cybernetics, and computer engineering.Intelligent control is a class of control techniques, that use various aI computing approaches like neural networks, bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms.ICCE 2011 Volume 1 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of Intelligent Control and Network Communication to disseminate their latest research results and exchange views on the future research directions of these fields. 90 high-quality papers are included in the volume. "

"ABSTRACTSetiap tahun, jumlah kecelakaan mobil sangat banyak terjadi di berbagai penjuru dunia, bahkan cenderung meningkat dari tahun ke tahun. Salah satu faktor penyebab kecelakaan mobil ini adalah kecelakaan ganda, yang dimana hal tersebut bisa terjadi, diakibatkan pengendara kurang memperhatikan jarak aman antar kendaraan. Untuk menyiasati kecelakaan akibat hal tersebut, diciptakanlah teknologi Intelligent Cruise Control ICC, sebagai salah satu teknologi pengembangan dari teknologi Cruise Control CC. Perbedaannya terletak pada tujuan sistem. Jika CC hanya menjadikan mobil bergerak dalam kecepatan konstan, ICC menjadikan mobil bergerak dalam kecepatan konstan, serta menjaga jarak dengan mobil di depannya. Namun, mendesain ICC tidak bisa dilakukan secara acak. Hal ini disebabkan kualitas dari teknologi ICC tersebut sangat dipengaruhi oleh model mobil serta jenis pengendali yang digunakan. Jika model mobil dan pengendali tidak sesuai, maka teknologi tersebut tidak berjalan dengan baik. Dalam skripsi ini, peneliti mencoba mendesain teknologi ICC dengan bantuan pengendali prediksi bertingkat, dengan terlebih dahulu mengidentifikasi model yang digunakan, kemudian hasil model identifikasi dan pengendali akan diuji dalam bentuk simulasi untuk membuktikan kualitas model dan pengendali yang telah dirancang sebelumnya.

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ABSTRACTEvery year, there are so many car accidents which is happened in the world, even, the accidents tends to increase from year to year. One of the factors causing this car accident is a collision, which can happen, due to the driver 39 s lack of attention to the safe distance between two vehicles. To minimalize the accident, Intelligent Cruise Control ICC technology was created, as one from so many technologies which is developed from Cruise Control CC technology. The difference lies in the purpose of the system. If the CC only keeps the car moving at a constant speed, the ICC keeps the car moving at constant speed, and also can keeps the car 39 s distance in front, However, designing an ICC can not be inconsequentially. This is due to the quality of the ICC technology is strongly influenced by the car model and the type of controller used. In this research, this paper tries to design the ICC technology with multistage model predictive controller MPC , by first to do is identifying the model that is used, then the result of the identification model and the controller will be tested in the form of simulation to prove the quality of the model and the controller that has been previously designed."