*Correspondence: [email protected] 1School of Science, Jiangnan University, Wuxi, 214122, China 3Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Institute of Automation, Jiangnan University, Wuxi, 214122, China Full list of author information is available at the end of the article Abstract In this paper, the fuzzy H∞ output-feedback control problem ...

A tool is developed in order to input Reo circuits and generate their corresponding constraint automata. The XML schemas for input and output are presented which establish a common interface for generating an integrated set of tools. Two heuristics in joining constraint automata are presented and experimental results are shown.

The uncertain systems under considered depend on norm-bounded time-varying matrices of uncertain parameters. The authors develop a quadratic guaranteed cost control method for robust stabilisation via linear memoryless state feedback and static output feedback. Also presented is a robust state feedback controller and static output feedback controller. It is shown that the state feedback control...

controller design and optimization problems, with more than one objective, are referred as multiple objectives or multiple attributed problems. in this paper, a novel method is proposed for designing optimum pid controller that is called genetic multiple attributed decision making method (gmadm). this method is newer than the previous methods and in this paper some options are considered that h...

in this paper, photovoltaic (pv) grid-connected inverter which is the core device in pv grid-connected system has been in depth research.an improved predictive current controller has been developed by the authors for single-phase grid-connected voltage source inverters (vsi).based on dsp tms320lf2407a, a 10 kw single-phase grid-connected inverter has been built in this paper.thus is aimed at us...

This work addresses the problem of robust output feedback model predictive control (MPC) constrained, discrete-time, time-delayed linear systems subject to (bounded) additive disturbances. The proposed controller incorporates an interval observer, that exploits available measurement update set-membership system states, and predictor, used in prediction step MPC. algorithm is similar conventiona...

The simultaneous use of the state and the output of the offline controller in bumpless transfer design for the multi-input-multi-output (MIMO) systems is proposed. Under the large online/offline controller mismatch, the recently introduced MIMO bumpless transfer design based on the feedback of the offline controller state and the online controller input and output is found to produce significan...

In this brief, we propose a new neuro-fuzzy reinforcement learning-based control (NFRLC) structure that allows autonomous underwater vehicles (AUVs) to follow desired trajectory in large-scale complex environments precisely. The accurate tracking problem is solved by unique online NFRLC method designed based on actor-critic (AC) structure. Integrating the framework including an adaptive multila...