This paper presents an on-line nonlinear dynamic modelling and control approach based on adaptive neuro-fuzzy inference system (ANFIS) for a twin rotor multi-input multi-output system (TRMS), in the vertical plane mot...
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This paper aims at developing new techniques that study vital functions of the heart by analysing biological signals. ECG prediction is important for many current medical applications. Currently, there are many machin...
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The rapid digitalisation process in power system has greatly benefited the large-scale integration of distributed energy resources (DERs), essentially accelerating the progress towards net zero. However, numerous cybe...
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This work proposes a novel solution to the problem of covering a bounded grid world using a swarm of robotic agents. The controller requires no run-time memory and only few, discrete sensory inputs. Two variants of th...
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In laser powder bed fusion additive manufacturing, using fixed values for the process parameters (beam power, velocity, and other parameters) may not lead to homogeneously distributed heat in all locations in the buil...
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The Self-Organising Fuzzy Logic control (SOFLC) which is an extended version of the Fuzzy logic controller was designed to make Fuzzy controllers work with less dependency on previous knowledge. Since the introduction...
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ISBN:
(纸本)9789897580536
The Self-Organising Fuzzy Logic control (SOFLC) which is an extended version of the Fuzzy logic controller was designed to make Fuzzy controllers work with less dependency on previous knowledge. Since the introduction of the SOFLC, only a few attempts have been made to create a performance index table that is responsible for the corrections of the low-level control 'adaptable' according to the dynamics of the process under control. In this paper a new dynamic supervisory layer is proposed which enables the controller to adapt its structure on-line to any given certain performance criteria. In this mechanism, the controller starts from an empty rule-base and uses an on-line Particle Swarm Optimisation (PSO) algorithm to adapt the cells of the performance index (PI) table while issuing control actions to the low-level fuzzy rule-base. The Simulation results achieved when the proposed scheme was tested on a non-linear muscle relation process showed that it is superior to the standard SOFLC scheme in terms of accurate tracking and efficient fuzzy rule-base elicitation (a conservative number of fuzzy rules).
Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum likelihood Doubly-Iterative Expectat...
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This paper discusses current work on the input tracking control of single-link flexible manipulator systems. Joint-based control (JBC) is tuned using bacterial foraging algorithm (BFA). The objective of the work is to...
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Simultaneous localisation and mapping (SLAM) relies on low-cost on-board sensors such as cameras and inertial measurement units. It is crucial that the surroundings are visible to the cameras to maximise the accuracy ...
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The Common Spatial Patterns (CSP) algorithm has shown great efficacy in extracting features for Brain-computer Interfaces (BCIs), particularly in motor imagery BCIs. However, CSP performs poorly when dealing with limi...
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