per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2014-12
8
3
1
25
article
Gas Sensors: Fundamentals, Applications, and Scope
Faramarz Hosein Babaei
fhbabaei@kntu.ac.ir
1
Almost two decades after the publication of the first Iranian research report on gas sensors, no such device is commercially fabricated inside the country. Valuable experimental and theoretical articles and theses have been produced in Iranian universities and research organizations during this period, but recent liteature does not seem to set or cater to any specific industrial goal. In this paper, the commercially available gas sensors are introduced, their prominent quality factors described, and their present-day domestic and industrial applications specified. The intricate combinations of quality factors demanded by future applications are discussed, demonstrating that the available sensors are far fro satisfactory for even today’s requirements. It is established that, owing to the continuous research carried out on the subject, the fabrication technologies and know how related to major gas sensor types are within the national capacity the main barrier is connected to the internal market management.
http://joc.kntu.ac.ir/article-1-214-en.pdf
Artificial olfaction
Gas sensor
Applications
Industrial fabrication
Market demand
Local concerns.
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2014-12
8
3
27
49
article
An Overview of the Theory and Applications of Interval-based Intelligent Systems and Controllers
mohammad Teshnehlab
1
Seyed Mohammad Javad Alehasher
2
Pouria Jafari
3
Interval knowledge is introduced in this paper. Interval knowledge is new paradigm for representation of human’s partial-implicit knowledge which applies granular information-based computational methods, e.g., fuzzy sets and rough sets. Interval-based intelligent systems and controllers are ones used interval knowledge and granular computing approaches. These systems and controllers are able to deal with types of vagueness and uncertainties. During past two decades, several researches have proved interval-based intelligent system are more capable than ones use traditional approaches in order to processes of data, especially in noisy situations. In this paper, rough sets theory, rough set neural networks, and theory of fuzzy type2 as most important interval knowledge approaches are presented, and also some their applications are summarized.
http://joc.kntu.ac.ir/article-1-213-en.pdf
Interval knowledge
Granular computing
Interval-based intelligent systems
Rough neural networks
Fuzzy type – 2 controllers
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2014-12
8
3
51
68
article
A Review of the Technical Developments on the Quadruped Robots
Vahid Johari Majd
majd@modares.ac.ir
1
In this paper, after reviewing a history of early literature and enumerating the benefits of quadruped robots, the latest world-wide research works on these robots are discussed. Then, various gate mechanisms, path movement methods, and static and dynamic stability margins of these robots are investigated. The modeling and kinematic and dynamic analyses of a typical quadruped robot with twelve degrees of freedom are also provided. Finally, a general path planning algorithms of such robots and the methods of deriving their stability conditions are explained.
http://joc.kntu.ac.ir/article-1-212-en.pdf
Quadruped robot
legged robot
path planning
dynamic stability
static stability.
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2014-12
8
3
69
85
article
Review of Model Predictive Control Tuning Methods and Modern Tuning Solutions
Ali Khaki Sedigh
Sedigh@kntu.ac.ir
1
Peyman Bagheri
Bagheri.Peyman@ee.kntu.ac.ir
2
Center of Excellence in Industrial Control, Department of Electrical Engineering, K. N. Toosi University of Technology
Center of Excellence in Industrial Control, Department of Electrical Engineering, K. N. Toosi University of Technology
Model Predictive Controllers (MPC) are effective control strategies widely used in the industry. The desirable MPC performance requires appropriate tuning of the controller parameters. However, the MPC tuning parameters are related to the closed loop characteristics in a complex and nonlinear manner, so the tuning procedure is an intricate problem, which has received much attention in recent decades. In this paper, the effects of each tuning parameter on the closed loop behavior are studied. Then, the issue of MPC tuning problem is considered and a review of the available tuning methods are provided. Modern tuning strategies are also considered. The emphasis of this paper is on theoretical tuning strategies which lead to closed form tuning equations that can be used in closed loop analysis. Finally, a simulation study is employed to have a comparative study on some closed form tuning equations and the advantages and disadvantages of each method is clarified.
http://joc.kntu.ac.ir/article-1-204-en.pdf
Model Predictive Control
Controller tuning
First order plus dead time model
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2014-12
8
3
87
117
article
Cable Driven Parallel Robots: Kinematics, Dynamics and Control
Azadeh Zarif Loloei
makh503@gmail.com
1
Mohammad Azam Khosravi
azadeh.zarif@gmail.com
2
Hamid D. Taghirad
taghirad@kntu.ac.ir
3
Department of Electrical Engineering, Pardis Branch, Islamic Azad University
, Faculty of Electrical Engineering, Amirkabir University of Technology
Faculty of Electrical Engineering, Inductrial Control Center of Excellence (ICCE) K. N. Toosi University of Technology
Cable-driven robots are a class of parallel robots in which the rigid links are replaced by cables. Using cables instead of rigid links in parallel robots makes them a suitable choice to remedy some of the traditional shortcoming of the conventional robots. However, this introduces new challenges in the study of cable-driven robots. This paper presents a survey of cable-driven robots and addresses numerous challenging open problems in this field. The paper consists of an overview of both applications and theoretical issues of cable-driven robots such as workspace, dynamics and control, and furthermore some open challenging issues in this field of research
http://joc.kntu.ac.ir/article-1-194-en.pdf
Parallel robots
cable driven robots
kinematics
dynamics
control
redundancy resolution
workspace.
per
Iranian Society of Instrumentation and Control Engineers
Journal of Control
2008-8345
2538-3752
2014-12
8
3
119
141
article
A Survey on Applications of Estimation Theory, Identification and Stochastic Control in Industrial Systems
Hamid Khaloozadeh
h_khaloozadeh@kntu.ac.ir
1
Atiyeh Keshavarz Mohamadian
atiehkeshavarz@ee.kntu.ac.ir
2
K.N.T University of Technology
K.N.T University of Technology
In this paper, a survey on applications of estimation theory, identification and stochastic control in industrial systems is presented. Identification, parameter and state estimation of a dynamical system and stochastic control are three important and applicable fields in industry. Several fields are discussed in this paper containing, leak detection in fluid pipelines, maneuvering target tracking, Active Queue Management (AQM) in communication networks, applications of stochastic modeling and control in medical and health issues, disease infection and control, dosage regimen design, and disease modeling and treatment. In addition, covariance assignment of dynamical systems’ states, quantum systems, localization, identification and stochastic control of robots, and also applications of estimation theory in navigation systems are reviewed. Furthermore, estimation, identification and stochastic control of electrical motors, and traffic control in Intelligent Transportation Systems (ITS) are investigated. Finally, chaotic systems control, synchronization, estimation, and identification are studied.
http://joc.kntu.ac.ir/article-1-193-en.pdf
Estimation theory
System identification
Stochastic control
Fault detection
Maneuvering target tracking
Active Queue Management
Medical and health
Covariance assignment
Robotics
Navigation
Electrical motors
Intelligent Transportation Systems
Ch