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In this paper, we develop a new approach of decentralized optimal control of interconnected systems via the block pulse functions (BPFs) parameterization technique. This tool transforms the optimal control problem to a mathematical programming problem solved numerically. The proposed approach is then applied on a double parallel inverted pendulum system coupled by a spring. The developed results are...
In this paper, we develop a receding horizon control (RHC) approach to linear systems through a direct method using the Block Pulse Functions (BPFs) parameterizations technique. This approach is based on the online optimal controls using BPFs and linear programming to formulate new control gains at every iteration. To update the gain, a linear programming algorithm was implemented in real-time for...
This paper deals with the synthesis of an observer based optimal control using the Block Pulse Functions (BPFs) parametrization technique. This tool transforms the optimal control problem to a mathematical programming problem that can be solved numerically. The importance of the proposed technique for the synthesis of the state observer with optimal control via BPFs has been illustrated through a...
This paper presents the direct numerical approach used to develop an optimal feedback control law of linear quadratic systems via the block pulse functions (BPFs) parameterization technique. This tool transforms the optimal control problem to a mathematical programming problem solved numerically. An illustrative example is included to demonstrate the effectiveness of this method and compare the developed...
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