Research　in　the　field　of　tribo-mechatronics　has　been　gaining　popularity　in　recent　decades.　The　objective　of　the　current　research　is　to　improve　static/dynamics　characteristics　of　hydrostatic　bearings.　Hydrostatic　bearings　always　work　in　harsh　environmental　conditions　that　effect　their　performance,　and　which　may　even　result　in　their　failure.　The　current　research　proposes　a　mathematical　model-based　system　for　hydrostatic　bearings　that　helps　to　improve　its　static/dynamic　characteristics　under　varying　conditions　of　performance-influencing　variables　such　as　temperature,　spindle　speed,　external　load,　and　clearance　gap.　To　achieve　these　objectives,　the　capillary　restrictors　are　replaced　with　servo　valves,　and　a　mathematical　model　is　developed　along　with　robust　control　design　systems.　The　control　system　consists　of　feedforward　and　feedback　control　techniques　that　have　not　been　applied　before　for　hydrostatic　bearings　in　the　published　literature.　The　feedforward　control　tries　to　remove　a　disturbance　before　it　enters　the　system　while　feedback　control　achieves　the　objective　of　disturbance　rejection　and　improves　steady-state　characteristics.　The　feedforward　control　is　a　trajectory-based　controller　and　the　feedback　controller　is　a　sliding　mode　controller　with　a　PID　sliding　surface.　The　particle　swarm　optimization　algorithm　is　used　to　tune　the　6-dimensional　vector　of　the　tuning　parameters　with　multi-objective　performance　criteria.　Numerical　investigations　have　been　carried　out　to　check　the　performance　of　the　proposed　system　under　varying　conditions　of　viscosity,　clearance　gap,　external　load　and　the　spindle　speed.　The　comparison　of　our　results　with　the　published　literature　shows　the　effectiveness　of　the　proposed　system.