Open Science Research Excellence

ICHCSA 2020 : International Conference on Hybrid Control Systems and Applications

Singapore, SG
July 6 - 7, 2020

Conference Code: 20SG07ICHCSA

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICHCSA 2020 has teamed up with the Special Journal Issue on Hybrid Control Systems and Applications. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   May 28, 2020
Notification of Acceptance/Rejection   June 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   June 6, 2020
Conference Dates   July 6 - 7, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Multi-Objective Optimal Design of a Cascade Control System for a Class of Underactuated Mechanical Systems
Yuekun Chen, Yousef Sardahi, Salam Hajjar, Christopher Greer
2) Optimization of Agricultural Water Demand Using a Hybrid Model of Dynamic Programming and Neural Networks: A Case Study of Algeria
M. Boudjerda, B. Touaibia, M. K. Mihoubi
3) An Optimal Control Method for Reconstruction of Topography in Dam-Break Flows
Alia Alghosoun, Nabil El Moçayd, Mohammed Seaid
4) Adaption Model for Building Agile Pronunciation Dictionaries Using Phonemic Distance Measurements
Akella Amarendra Babu, Rama Devi Yellasiri, Natukula Sainath
5) Mean-Variance Optimization of Portfolios with Return of Premium Clauses in a DC Pension Plan with Multiple Contributors under Constant Elasticity of Variance Model
Bright O. Osu, Edikan E. Akpanibah, Chidinma Olunkwa
6) Model Predictive Control Using Thermal Inputs for Crystal Growth Dynamics
Takashi Shimizu, Tomoaki Hashimoto
7) Stability of Stochastic Model Predictive Control for Schrödinger Equation with Finite Approximation
Tomoaki Hashimoto
8) Optimal Tuning of Linear Quadratic Regulator Controller Using a Particle Swarm Optimization for Two-Rotor Aerodynamical System
Ayad Al-Mahturi, Herman Wahid
9) Stochastic Model Predictive Control for Linear Discrete-Time Systems with Random Dither Quantization
Tomoaki Hashimoto
10) Overview of Different Approaches Used in Optimal Operation Control of Hybrid Renewable Energy Systems
K. Kusakana
11) Dynamic Programming Based Algorithm for the Unit Commitment of the Transmission-Constrained Multi-Site Combined Heat and Power System
A. Rong, P. B. Luh, R. Lahdelma
12) Stochastic Control of Decentralized Singularly Perturbed Systems
Walid S. Alfuhaid, Saud A. Alghamdi, John M. Watkins, M. Edwin Sawan
13) Solutions to Probabilistic Constrained Optimal Control Problems Using Concentration Inequalities
Tomoaki Hashimoto
14) A Hybrid Recommendation System Based On Association Rules
Ahmed Mohammed K. Alsalama
15) A Hybrid System of Hidden Markov Models and Recurrent Neural Networks for Learning Deterministic Finite State Automata
Pavan K. Rallabandi, Kailash C. Patidar

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