The high maneuverability of modem jet fighters often subject the pilots to high G_z acceleration. One of the adverse effects of G_z acceleration is G-induced Loss of Consciousness (G-LOC). G-LOC occurs when adequate head-level blood pressure of the pilot is not maintained. The curmt protection scheme includes a pressure mask that supplies the pilot with nominal Positive Pressure Breaihing (PPB) and a nominal pressurized G-suit to maintain pilot's head-level blood pressure above a critical threshold. Part of the problern is that nominal pressure profiles are applied to al1 pilots regarâless of individual pilots' G_z tolerance. Contrary to the current protection scheme, which only relies on momentary G_z acceleration to generate a nominal protection profile for al1 pilots, an Expert System is implemented to incorporate individuals' physiological indices such as age, weight, height, physical conditioninG_z and nominal blood pressure to determine individuals' G_z tolerance. According to individuals' G_z tolerance, deviation from the nominal protection profile is then computed to generate a personal pressure profile. In addition. Anti-G Protection Expa System (AGPES) also takes into account G_z history and onset rate to pnerate a better non-linear G-suit and PPB protection profiles. The improved protection profiles will counteract the adverse effects of different jet fighter maneuvers more effectively. In this dissertation, an experimental facility is integrated to simulate low-level Push-Pull maneuvers and an AGPES is implemented to generate the pressure profiles. The experimental facility consists of a tilt-table, pressure valves, and two contml cornputers. The software, AGPES, comprises of four functioning modules:​ Data Acquisition Module (DAQM), Signal Rocessing and Analysis Module (SPAM), Knowledge Base Module (KBM), and Mle Simulator Module (PSM). DAQM acquires physiological data of subjects, tii'table axis positions, and pressure signals generated by the valves. SPAM serves as a systematic twl for studying or extracting underlying indices that reflect the physiological condition of the subjects from the raw sensory data. The most challenging and difficult task is to extract and formulate the knowledge acquired from physiological technical papers, literature studies, and fuzzy control experts. These fuzzy rules are used to generate improved protection profiles. KBM contains a database of the fuzzy des. PSM is a tool that is capable of simulating the generation of protection profiles for an y user-defined G_z acceleration profile. Studies have shown that when the pilots experience -G_z acceleration prior to +G_z acceleration (Push-Pull maneuver), they will be more susceptible to G-LOC (Push-Pull effect). During the course of defining the optimum protection for counteracting Push-Pull effects, a new physiological index named Resistance Index is found to be an important indicator in refiecting the rigidity of the bld vessels and related G_z tolerance of an individual subject. Resistance Index is used to determine the optimum level of PPB pressure dunng the -G_z acceleratian phase.