An improved method for on-line identification of a first order plus dead-time process model under proportional-integral control is proposed. The proposed method eliminates some of the disadvantages of the Yuwana and S...
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An improved method for on-line identification of a first order plus dead-time process model under proportional-integral control is proposed. The proposed method eliminates some of the disadvantages of the Yuwana and Seborg method while retaining the simplicity of the method. Simulation results show that the proposed method performs well on a range of processes.
A symbolic manipulation procedure, which both computes and automatically decomposes the generalized frequency response functions of nonlinear rational, polynomial and integrodifferential equation models into a set of ...
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A symbolic manipulation procedure, which both computes and automatically decomposes the generalized frequency response functions of nonlinear rational, polynomial and integrodifferential equation models into a set of closed-form nth order transfer functions, is presented. The symbolic representation exposes the explicit relationship between the model parameters and the nonlinear transfer functions in the frequency domain and leads to important insights into the characterization of nonlinear systems. Examples for each model type are included to demonstrate the symbolic transfer function approach.
Identifying different vehicle types can help manage traffic more efficiently, reduce congestion, and improve public safety. This study aims to create a classification model that can recognize vehicle types based on th...
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An approach for the modelling and motion planning of a mobile manipulator system with a non-holonomic constraint is presented in this paper. The Newton-Euler equations are used to obtain the complete dynamics of the s...
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An approach for the modelling and motion planning of a mobile manipulator system with a non-holonomic constraint is presented in this paper. The Newton-Euler equations are used to obtain the complete dynamics of the system. Given the trajectory of the end-effector of the manipulator, near-optimal trajectories for the mobile platform and manipulator joints are obtained by using an efficient genetic algorithm with torque and manipulability optimisation and obstacle avoidance. Various simulations of a platform with a 3-link onboard manipulator are presented to show the effectiveness of the presented method.
There are many pressures on university lecturers due in part to students’ not adopting proper learning styles. However, modern technology provides the lecturer with far more tools to create good learning environments...
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There are many pressures on university lecturers due in part to students’ not adopting proper learning styles. However, modern technology provides the lecturer with far more tools to create good learning environments which engage and assist the student learners (Laurillard, 2002). This paper presents some case studies of projects looking at the formal introduction of blended learning into the curriculum. The emphasise is on being imaginative, taking a few risks but also using technology only where it is most appropriate.
With advances in technology, there has been a gradual move away from the historical reliance on lectures as the main means of educating students. This paper presents a case study from a controlengineering department ...
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With advances in technology, there has been a gradual move away from the historical reliance on lectures as the main means of educating students. This paper presents a case study from a controlengineering department on the use of short video snippets as an embellishment to lectures and other learning resources. Discussion is focussed on the efficacy for student learning and a cost/benefit analysis on the effort required to prepare such resources as well as potential future uses.
Stabilizing allocations in coalitional games with transferable utility are studied within the framework of uncertain and dynamic stochastic systems. We assume that the excess of allocations relative to the evolution o...
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Developments in computational models of evolutionary processes have led to the realization of powerful, robust, and general optimization and adaptive systems collectively called evolutionary algorithms. In this paper,...
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Developments in computational models of evolutionary processes have led to the realization of powerful, robust, and general optimization and adaptive systems collectively called evolutionary algorithms. In this paper, we consider one member of this class of algorithms, the genetic algorithm, and describe the features and characteristics that are particularly appropriate for applications in controlsystemsengineering. The versatility and robust qualities of the algorithm are considered and a number of application areas described. Some prospective future directions are also identified.
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