An intelligent optimal control scheme for unknown nonlinear discrete-time systems with discount factor in the cost function is proposed in this paper. An iterative adaptive dynamic programming (ADP) algorithm via glob...
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This paper proposes a supervised adaptive dynamic programming (SADP) algorithm for the full range Adaptive cruise control (ACC) system. The full range ACC system considers both the ACC situation in highway system and ...
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The paper focuses on the design of a platoon control system with a diverse vehicle formation. After a brief summary of the vehicle model and the control criteria, the paper demonstrates methods for eliminating the lon...
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Due to their high reliability and low cost, network control systems are becoming key players in the future of control systems. However, their usage requires handling issues like time delays and information loss. This ...
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This paper deals with the design and the simulation of decentralized artificial intelligent systems (multiagent systems) in the context of distributed automation and decentralized control systems. It presents an origi...
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This paper deals with the design and the simulation of decentralized artificial intelligent systems (multiagent systems) in the context of distributed automation and decentralized control systems. It presents an original tool and its interesting modular and customizable physical model of a house.
In the petrochemical technological processes, the synthesis of 2 ethyl-hexanol-oxo-alcohol is of highest importance, being achieved through catalytic hydrogenation of 2 ethyl-hexenal. The hydrogenation reaction is hig...
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Based on input-output stability theory a new approach is introduced about cruise trajectory tracking adaptive control of a fully-actuated stratospheric airship. Firstly the dynamic model is expressed by the generalize...
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The paper presents a control strategy for a wind energy conversion system (WECS) which tracks the maximum power point of the wind turbine. The topology of the system consists of a permanent magnet synchronous generato...
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The paper proposes the modeling and control design of a variable-geometry suspension system. The goal of the modification of wheel camber is to track road trajectory and enhance the lateral stability of the vehicle. T...
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A methodology is developed for automatically tuning the main parameters of model predictive control (MPC) such as prediction horizon, control horizon and control interval. The tuning of parameters is done by means of ...
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A methodology is developed for automatically tuning the main parameters of model predictive control (MPC) such as prediction horizon, control horizon and control interval. The tuning of parameters is done by means of sequential parameter optimization. In the process of optimization one of the major issues is the choice of an objective function. Several types of objective functions are tested in order to choose the one which solves the MPC tuning problem most adequate. In addition, different scenarios are analyzed if an exact model of the true plant does not exist.
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