Adaptive PID control based on orthogonal endocrine neural networks.

A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev orthogonal polynomials. First substructure network is a regular orthogonal neural network with implemented artificial endocrine factor (OENN), in the form of environmental stimuli, to its weights. It is used for approximation of control signals and for processing system deviation/disturbance signals which are introduced in the form of environmental stimuli. The output values of OENN are used to calculate artificial environmental stimuli (AES), which represent required adaptation measure of a second network-orthogonal endocrine adaptive neuro-fuzzy inference system (OEANFIS). OEANFIS is used to process control, output and error signals of a system and to generate adjustable values of proportional, derivative, and integral parameters, used for online tuning of a PID controller. The developed structure is experimentally tested on a laboratory model of the 3D crane system in terms of analysing tracking performances and deviation signals (error signals) of a payload. OENN-OEANFIS performances are compared with traditional PID and 6 intelligent PID type controllers. Tracking performance comparisons (in transient and steady-state period) showed that the proposed adaptive controller possesses performances within the range of other tested controllers. The main contribution of OENN-OEANFIS structure is significant minimization of deviation signals (17%-79%) compared to other controllers. It is recommended to exploit it when dealing with a highly nonlinear system which operates in the presence of undesirable disturbances.

Improved and safe transcorneal delivery of flurbiprofen by NLC and NLC-based hydrogels.

Flurbiprofen (FB)-loaded nanostructured lipid carriers (NLCs) based on Compritol®888 ATO (C888; FB-C888NLC) were developed for anti-inflammatory ocular therapy. NLCs prepared by high-pressure homogenization technique following a factorial design had low particle size (<199 nm), high entrapment efficiency (∼90%), and long-term physical stability. Previously optimized NLCs based on stearic acid (SA; FB-SANLC) were prepared for comparison studies. Both formulations were dispersed in freshly prepared carbomer hydrogel (HG) to check the suitability of semisolid-based NLC HGs to enhance the corneal residence time. FB-C888NLC remained in the nanometric range, whereas FB-SANLC suffered an increase in particle size up to 5 µm after incorporation. Consequently, modifications in the crystalline lattice structure were observed for FB-SANLC-enriched HG (HG_FB-SANLC) by X-ray diffractometry. Both HG formulations showed plastic and low or no thixotropic properties, making them suitable for ocular application while maintaining its predominant elastic component as an indicator of good physicochemical stability. Formulations depicted sustained FB release. Ex vivo permeation analysis in isolated rabbit cornea revealed enhanced transcorneal drug permeation from the systems. In vivo ocular tolerance was confirmed by the Draize test. Therefore, NLC are promising and effective systems for ocular delivery of FB.