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Paper discusses analysis of applying model reference adaptive control strategy for control of temperature in jacketed stirred tank heater. Perfectly mixed hot fluid is circulated in heater through the jacket. Modeling of jacketed stirred... more
Paper discusses analysis of applying model reference adaptive control strategy for control of temperature in jacketed stirred tank heater. Perfectly mixed hot fluid is circulated in heater through the jacket. Modeling of jacketed stirred tank heateris done with energy balance equations on the vessel and on jacket fluids and same has been used for simulation. Initially Lyapunov rule technique has been applied for simulation of MRAC. Adaptive control parameter values of θ and output have been saved and used for future control strategy with soft computing. By applying adaptive neuro fuzzy inference system (ANFIS) based algorithm adaptive parameter values have again been generated. Results shows that as compared to conventional MRAC soft computing based MRAC leads to better result in several cases. Basics of Lyapunov rule based adaptive control, literature survey, dynamics of jacketed stirred tank heater and MRAC with result statistics have been presented. KEYWORDS JSTH, Lyapunov rule, ...
Handwritten character recognition is a challenging area of research. Lots of research activities in the area of character recognition are already done for Indian languages such as Hindi, Bangla, Kannada, Tamil and Telugu. Literature... more
Handwritten character recognition is a challenging area of research. Lots of research activities in the area of character recognition are already done for Indian languages such as Hindi, Bangla, Kannada, Tamil and Telugu. Literature review on handwritten character recognition indicates that in comparison with other Indian scripts research activities on Gujarati handwritten character recognition are very less. This paper aims to bring Gujarati character recognition in attention. Recognition of isolated Gujarati handwritten characters is proposed using three different kinds of features and their fusion. Chain code based, zone based and projection profiles based features are utilized as individual features. One of the significant contribution of proposed work is towards the generation of large and representative dataset of 88,000 handwritten Gujarati characters. Experiments are carried out on this developed dataset. Artificial Neural Network (ANN), Support Vector Machine (SVM) and Nai...
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In this paper, model reference adaptive control of fractional order system using ANFIS and CANFIS has been discussed. In this paper ANFIS (Adaptive Neuro Fuzzy Inference System) has been used for the MISO (Multi input single output)... more
In this paper, model reference adaptive control of fractional order system using ANFIS and CANFIS has been discussed. In this paper ANFIS (Adaptive Neuro Fuzzy Inference System) has been used for the MISO (Multi input single output) system and CANFIS (Coactive Neuro Fuzzy Inference System) is used for MIMO (Multi input Multi output) system. In this paper fractional order MIT rules are used to generate adaption law for MRAC. Tuning for the ANFIS and the CANFIS has been carried out by the fractional order MRAC tuning rule. Fractional order MIT rule has been used to control Fractional order system. The comparative analysis between CANFIS and ANFIS has been shown in this paper. It has been shown that the fractional order MRAC can be replaced by an appropriate neural network either in form of ANFIS or CANFIS.
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In this paper, design and implementation of Neuro-Fuzzy Algorithm for Fractional Order Controller System has been carried out. Fractional order system and controller has wide application in control word. Simulation study for the... more
In this paper, design and implementation of Neuro-Fuzzy Algorithm for Fractional Order Controller System has been carried out. Fractional order system and controller has wide application in control word. Simulation study for the fractional order transfer function using different control algorithm has been done. Fractional order system was controlled by ANFIS and Classical PID controller. Comparative analysis between ANFIS and PID has been carried out in this paper. From this analysis it is observed that ANFIS gives better performance.
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Nonlinear Hybrid Dynamical Systems (NHDS) are characterized by interacting dynamics of continuous and discrete domain. Application such systems has been reported in chemical systems, manufacturing systems, mechanical systems, electrical... more
Nonlinear Hybrid Dynamical Systems (NHDS) are characterized by interacting dynamics of continuous and discrete domain. Application such systems has been reported in chemical systems, manufacturing systems, mechanical systems, electrical systems, telecommunication systems, automobile control and computer disk drive control.The nonlinear continuous dynamic in NHDS will change due to occurrence of some unknown discrete events. So, for identification of NHDS, it is required to classify the open loop data according to discrete events. Clustering is the process of organizing objects into groups whose members are similar in some way. A variety of algorithms have recently emerged that meet these requirements and were successfully applied to real life data mining problem. Fuzzy c-means (FCM) and k-means are commonly used partitional algorithm based on unsupervised learning methods. This paper focuses on the analysis of FCM and k-means partitional clustering methods for the single tank NHDS d...
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ABSTRACT In this paper, a Hamilton-Jacobi-Bellman (HJB) equation based optimal control algorithm is proposed for a bilinear system. Utilizing the Lyapunov direct method, the controller is shown to be optimal with respect to a cost... more
ABSTRACT In this paper, a Hamilton-Jacobi-Bellman (HJB) equation based optimal control algorithm is proposed for a bilinear system. Utilizing the Lyapunov direct method, the controller is shown to be optimal with respect to a cost functional, which includes penalty on the control effort and the system states. In the proposed algorithm, Neural Network (NN) is used to find approximate solution of HJB equation using least squares method. Proposed algorithm has been applied on bilinear systems. Necessary theoretical and simulation results are presented to validate proposed algorithm.
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There are many dynamic systems that can be characterized better by using non-integer order dynamic model based on fractional calculus or, differentiation or integration. Traditional calculus is based on integer order differentiation and... more
There are many dynamic systems that can be characterized better by using non-integer order dynamic model based on fractional calculus or, differentiation or integration. Traditional calculus is based on integer order differentiation and integration. In this paper, we have represented comparative study of different fractional order systems using different realization methods. Basic definitions of fractional calculus and fractional order dynamic systems are presented first. Additionally, different fractional order systems are introduced and commented. Numerical methods for simulating fractional order systems are given in detail. Also Discretization techniques for fractional order operators are explained in details. Both digital and analog realization methods of fractional order systems are introduced. Comparative study has been carried out for the time response analysis of fractional order system using various approximation methods. Finally, remarks on future research efforts in fractional order control are given.
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ABSTRACT The Nonlinear Hybrid Dynamical Systems (NHDS) represent discrete event dynamics along with continuous dynamics. This paper is focused identification of the NHDS based on fuzzy c-means clustering approach for the open loop data... more
ABSTRACT The Nonlinear Hybrid Dynamical Systems (NHDS) represent discrete event dynamics along with continuous dynamics. This paper is focused identification of the NHDS based on fuzzy c-means clustering approach for the open loop data classification according to its discrete dynamics. In the present work, a novel fuzzy function based selection of PWARX model algorithm applied for validation of identified parameters of the PieceWise affine Auto Regressive eXogeneous (PWARX) models which are separable and linear in the discrete space. The performance of the proposed selection method is demonstrated using the physical application.
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Biometric authentication refers to the automatic identification of a person by analyzing their physiological and/or behavioral characteristics or traits. Since many physiological and behavioral characteristics are unique to an individual,... more
Biometric authentication refers to the automatic identification of a person by analyzing their physiological and/or behavioral characteristics or traits. Since many physiological and behavioral characteristics are unique to an individual, biometrics provides a more reliable system of authentication than ID cards, keys, passwords, or other traditional systems. A wide variety of organizations are using automated person authentication systems to improve customer satisfaction, operating efficiency as well as to secure critical resources. Now a day an increasing number of countries including India have decided to adopt biometric systems for national security and identity theft prevention, which makes biometrics an important component in security-related applications such as: logical and physical access control, forensic investigation, IT security, identity fraud protection, and terrorist prevention or detection. Various biometric authentication techniques are available for identifying an individual by measuring fingerprint, hand, face, signature, voice or a combination of these traits. New biometric algorithms and technologies are proposed, tested, reviewed, and implemented every year. This paper aims to give a brief overview of the field of biometrics and summarize various biometric authentication techniques including its strengths and limitations.
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This paper introduces a new method for deriving the virtual linearized model of a given non-linear system on the basis of convergence. Once the virtual model for a given system is obtained, it is very simple to analyze the behavior of... more
This paper introduces a new method for deriving the virtual linearized model of a given non-linear system on the basis of convergence. Once the virtual model for a given system is obtained, it is very simple to analyze the behavior of given non-linear system. To represent an idea regarding the concept of contraction analysis an example of simple pendulum system
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ABSTRACT Real-time data of boiler thermal efficiency can really reflect the boiler operation condition, heat generation and heat loss. Performance of the boiler, like efficiency and evaporation ratio reduces with time, due to poor... more
ABSTRACT Real-time data of boiler thermal efficiency can really reflect the boiler operation condition, heat generation and heat loss. Performance of the boiler, like efficiency and evaporation ratio reduces with time, due to poor combustion, heat transfer fouling and poor operation and maintenance. Boiler efficiency can be also useful in analysis of boiler and can also be used in predictive maintenance of the boiler. How to reduce problems of the boiler efficiency real-time computations and be successful in calculating the boiler thermal efficiency on line are the main concern of operation departments of power systems. Using Heat Input-Output method plant people can evaluate quickly the efficiency of boilers using few parameters
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ABSTRACT In the present paper, the analysis and the synthesis models of rectangular, circular and equilateral triangular microstrip patch antennas using Artificial Neural Networks are presented. The analysis model takes antenna... more
ABSTRACT In the present paper, the analysis and the synthesis models of rectangular, circular and equilateral triangular microstrip patch antennas using Artificial Neural Networks are presented. The analysis model takes antenna geometrical parameters as inputs and gives resonant frequency and return-loss as outputs. The synthesis model gives patch dimensions as output for a given set of antenna performance parameters.
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ABSTRACT In the present paper, the analysis of a circularly polarized elliptical patch antenna using artificial neural networks is pesented. Radius of semi-major axis, feed location to the microstrip patch and the height of the dielectric... more
ABSTRACT In the present paper, the analysis of a circularly polarized elliptical patch antenna using artificial neural networks is pesented. Radius of semi-major axis, feed location to the microstrip patch and the height of the dielectric substrate are taken as inputs to the neural network, while resonant frequency and return-loss are obtained as the outputs. The ANN generated results were found in close agreement with those of simulated results.
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ABSTRACT Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. BFOA is inspired by the social foraging behaviour of Escherichia coli.... more
ABSTRACT Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. BFOA is inspired by the social foraging behaviour of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. In present paper, a detailed explanation of this algorithm is given. Comparative analysis of BFOA with Genetic Algorithm (GA) is presented.
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ABSTRACT This paper presents the survey of latest research on Model Reference Adaptive Control (MRAC). Effort is to present state of the art, find challenges, limitations and further scope of research on MRAC. Due to recent orientation... more
ABSTRACT This paper presents the survey of latest research on Model Reference Adaptive Control (MRAC). Effort is to present state of the art, find challenges, limitations and further scope of research on MRAC. Due to recent orientation towards soft computing research, publications with fuzzy logic and neural network have accelerated. Considering this point a section has been allocated to it. A section of variable structure MRAC has been included as variable structure control (VSC) is considered to be recent potential area. Many advanced techniques in MRAC have been surveyed and compiled in paper. Founded with focus on flight control and other aerospace applications, now MRAC has been designed and implemented for diverse application. Different applications of MRAC also have been reviewed here.
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In this paper, a Hamilton–Jacobi–Bellman (HJB) equation–based optimal control algorithm for robust controller design is proposed for nonlinear systems. The HJB equation is formulated using a suitable nonquadratic term in the performance... more
In this paper, a Hamilton–Jacobi–Bellman (HJB) equation–based optimal control algorithm for robust controller design is proposed for nonlinear systems. The HJB equation is formulated using a suitable nonquadratic term in the performance functional to tackle constraints on the control input. Utilizing the direct method of Lyapunov stability, the controller is shown to be optimal with respect to a cost functional,
Research Interests: Cognitive Science, Mathematics, Computer Science, Optimal Control, Robust control, and 12 moreController Design, Neural Network, Computational Science and Engineering, Lyapunov Stability, Type System, Nonlinear system, Upper Bound, Cost Function, Artificial Neural Network, Least Square Method, Direct Method, and HJB equation
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ABSTRACT In this paper, a Hamilton-Jacobi-Bellman (HJB) equation based optimal control algorithm for robust controller design, is proposed for a nonlinear system. Utilizing the Lyapunov direct method, controller is shown to be optimal... more
ABSTRACT In this paper, a Hamilton-Jacobi-Bellman (HJB) equation based optimal control algorithm for robust controller design, is proposed for a nonlinear system. Utilizing the Lyapunov direct method, controller is shown to be optimal with respect to a cost functional that includes maximum bound on system uncertainty. Controller is continuous and requires the knowledge of the upper bound of system uncertainty. In the proposed algorithm, neural network (NN) is used to find approximate solution of HJB equation. Proposed algorithm has been applied on a nonlinear uncertain system.
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Int. J. Automation and Control, Vol. 3, Nos. 2/3, 2009 ... Robust control of nonlinear systems using neural network based HJB solution ... Dipak M. Adhyaru*, IN Kar and Madan Gopal ... Department of Electrical Engineering, Indian... more
Int. J. Automation and Control, Vol. 3, Nos. 2/3, 2009 ... Robust control of nonlinear systems using neural network based HJB solution ... Dipak M. Adhyaru*, IN Kar and Madan Gopal ... Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi ...