An coordinated control strategy has been proposed and successfully applied to 300MW circulating fluidized bed (CFB) units in China. The paper describes the new coordinated control (NCC) system to overcome the long settling time, strong coupling, nonlinearity and inconstancy encountered in CFB combustion. NCC is based on both fuzzy Feedforward (fuzzy-FF) control and the fuzzy-PID feedback contro...

This paper presents a modified Iteration Particle Swarm Optimization (IPSO) algorithm to tune optimal gains of a Proportional Integral Derivative (PID) type multiple stabilizers and non-smooth nonlinear parameters (such as saturation limits) for multi machine power system, simultaneously. The problem of robustly tuning of PID based multiple stabilizer design is formulated as an optimization pro...

The main objective of this paper is to model and optimize the parallel and relatively complex FuzzyP+FuzzyI+FuzzyD (FP+FI+FD) controller for simultaneous control of the voltage and frequency of a micro-grid in the islanded mode. The FP+FI+FD controller has three parallel branches, each of which has a specific task. Finally, as its name suggests, the final output of the controller is derived fro...

Rhesus macaques were inoculated subcutaneously with 40 plaque-forming units of yellow fever (YF) virus. To identify pathophysiologic mechanisms of YF, rectal temperatures and evidence of viremia were observed daily; physiologic and biochemical changes were studied on postinoculation day (PID) 5. Marked viremia was detected on PID 2 through 5, and fever was first observed on PID 4. On PID 5, blo...

In this paper, we formulate an optimization problem of establishing a fuzzy neural network model (FNNM) for efficiently tuning PID controllers of various test plants. An existing indirect, two-stage approach used a dominant pole assignment method with P=198 to find the corresponding PID controllers. Consequently, an adaptive neuro-fuzzy inference system (ANFIS) is used to independently train th...

In this paper, we propose a generalized multi-scale modeling framework for a continuous alcoholic fermentation using Saccharomyces cerevisiae. Based on the developed multi-scale modeling framework, a multi-scale control (MSC) strategy using PID-type controllers is then designed and compared with that of a single-scale control (SCC) strategy. Results indicate that MSC strategy could greatly impr...

This paper proposes the observer-based proportional-integral-derivative control of positive multi-agent systems. First, a observer is constructed for considered systems in terms matrix decomposition approach. Then, novel protocol framework proposed based on an improved observer. By using copositive Lyapunov function, positivity and consensus are achieved. The corresponding gain matrices designe...

The existing modeling methods using Petri Nets‎, ‎have been successfully applied to model and analyze dynamic systems‎. ‎However‎, ‎these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals‎, ‎systems including various subsystems and multi-mode systems‎. ‎This paper proposes Hybrid Time Delay Petri Nets (HTDPN) to solve the problem‎. ‎In ...